Digital image processing and computer vision techniques are nowadays used for a wide variety of applications. With the rapid proliferation of inexpensive acquisition and storage devices, multimedia objects can be easily created, stored, transmitted, modified and tampered with by anyone.
Digital Image Processing
Digital image processing and computer vision techniques are nowadays used for a wide variety of applications. Within this context, we developed an expertise on a series of different topics:
- Image and video analysis (e.g., multispectral imaging for food quality assessment and other industrial applications, object recognition in low-power platforms, etc.).
- 3D processing (e.g., scene reconstruction and analysis for automatic docking assistance, posture monitoring for clinical analysis, etc.).
- Video and image coding (e.g., exploiting distributed processing environment, coding of image descriptors, etc.).
Related publications
2021
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![[DOI]](http://ispl.deib.polimi.it/wp-content/plugins/papercite/img/external.png)
N. Bonettini, C. A. Gonano, P. Bestagini, M. Marcon, B. Garavelli, and S. Tubaro, “Multitask learning for denoising and analysis of X-ray polymer acquisitions,” in European Signal Processing Conference (EUSIPCO), 2021.
[Bibtex]@InProceedings{bonettini2021multitask, author = {Bonettini, Nicolò and Gonano, Carlo Andrea and Bestagini, Paolo and Marcon, Marco and Garavelli, Bruno and Tubaro, Stefano}, title = {Multitask learning for denoising and analysis of {X}-ray polymer acquisitions}, booktitle = {European Signal Processing Conference (EUSIPCO)}, year = {2021}, doi = {10.23919/EUSIPCO54536.2021.9616220}, groups = {image}, }
2020
- M. Marcon, M. Paracchini, and S. Tubaro, “Visual Odometry from Omnidirectional Images for Intelligent Transportation,” Advances in Intelligent Systems and Computing, 2020.
[Bibtex]@article{marcon2020visual, author = {Marcon, Marco and Paracchini, Marco and Tubaro, Stefano}, groups = {image}, journal = {Advances in Intelligent Systems and Computing}, title = {Visual Odometry from Omnidirectional Images for Intelligent Transportation}, year = {2020}} - M. Paracchini, M. Marcon, F. Villa, and S. Tubaro, “Deep Skin Detection on Low Resolution Grayscale Images,” Pattern Recognition Letters, vol. 131, pp. 322-328, 2020.
[Bibtex]@article{paracchini2020deep, author = {M. Paracchini and Marco Marcon and Federica Villa and Stefano Tubaro}, doi = {https://doi.org/10.1016/j.patrec.2019.12.021}, groups = {image}, issn = {0167-8655}, journal = {Pattern Recognition Letters}, pages = {322 - 328}, title = {Deep Skin Detection on Low Resolution Grayscale Images}, volume = {131}, year = {2020}, Bdsk-Url-1 = {https://doi.org/10.1016/j.patrec.2019.12.021}} - M. Paracchini, M. Marcon, F. Villa, F. Zappa, and S. Tubaro, “Biometric Signals Estimation Using Single Photon Camera and Deep Learning,” Sensors, vol. 20, 2020.
[Bibtex]@article{paracchini2020biometric, author = {Paracchini, Marco and Marcon, Marco and Villa, Federica and Zappa, Franco and Tubaro, Stefano}, year = {2020}, doi = {10.3390/s20216102}, groups = {image}, issn = {1424-8220}, issue = {21}, journal = {Sensors}, title = {Biometric Signals Estimation Using Single Photon Camera and Deep Learning}, volume = {20}, Bdsk-Url-1 = {https://doi.org/10.3390/s20216102}}
2019
- N. Bonettini, M. Paracchini, P. Bestagini, M. Marcon, and S. Tubaro, “Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions,” in European Signal Processing Conference (EUSIPCO), 2019, pp. 1-5.
[Bibtex]@inproceedings{bonettini2019hyperspectral, author = {N. {Bonettini} and M. {Paracchini} and P. {Bestagini} and M. {Marcon} and S. {Tubaro}}, booktitle = {European Signal Processing Conference (EUSIPCO)}, doi = {10.23919/EUSIPCO.2019.8903151}, groups = {image}, pages = {1-5}, title = {Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.23919/EUSIPCO.2019.8903151}} - A. Canclini, F. Malapelle, M. Marcon, S. Tubaro, and A. Fusiello, “View-synthesis from uncalibrated cameras and parallel planes,” Signal Processing: Image Communication, vol. 79, pp. 40-53, 2019.
[Bibtex]@article{canclini2019view, author = {Canclini, A. and Malapelle, F. and Marcon, M. and Tubaro, S. and Fusiello, A.}, doi = {https://doi.org/10.1016/j.image.2019.08.012}, groups = {image}, journal = {Signal Processing: Image Communication}, pages = {40-53}, title = {View-synthesis from uncalibrated cameras and parallel planes}, url = {http://www.sciencedirect.com/science/article/pii/S0923596518309780}, volume = {79}, year = {2019}, Bdsk-Url-1 = {http://www.sciencedirect.com/science/article/pii/S0923596518309780}, Bdsk-Url-2 = {https://doi.org/10.1016/j.image.2019.08.012}} - M. Paracchini, M. Marcon, and S. Tubaro, “Fast and Reliable Facial Landmarks Localization in Non Frontal Images,” in European Workshop on Visual Information Processing (EUVIP), 2019, pp. 88-92.
[Bibtex]@inproceedings{paracchini2019fast, author = {M. {Paracchini} and M. {Marcon} and S. {Tubaro}}, booktitle = {European Workshop on Visual Information Processing (EUVIP)}, doi = {10.1109/EUVIP47703.2019.8946249}, groups = {image}, issn = {2164-974X}, month = {Oct}, pages = {88-92}, title = {Fast and Reliable Facial Landmarks Localization in Non Frontal Images}, url = {image}, year = {2019}, Bdsk-Url-1 = {image}, Bdsk-Url-2 = {https://doi.org/10.1109/EUVIP47703.2019.8946249}} - M. Paracchini, L. Marchesi, K. Pasquinelli, M. Marcon, G. Fontana, A. Gabrielli, and F. Villa, “Remote PhotoPlethysmoGraphy Using SPAD Camera for Automotive Health Monitoring Application,” in AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), 2019, pp. 1-6.
[Bibtex]@inproceedings{paracchini2019remote, author = {M. {Paracchini} and L. {Marchesi} and K. {Pasquinelli} and M. {Marcon} and G. {Fontana} and A. {Gabrielli} and F. {Villa}}, booktitle = {AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)}, doi = {10.23919/EETA.2019.8804516}, groups = {image}, month = {July}, pages = {1-6}, title = {Remote PhotoPlethysmoGraphy Using {SPAD} Camera for Automotive Health Monitoring Application}, url = {image}, year = {2019}, Bdsk-Url-1 = {image}, Bdsk-Url-2 = {https://doi.org/10.23919/EETA.2019.8804516}} - M. Marcon, M. B. M. Paracchini, and S. Tubaro, “A Framework for Interpreting, Modeling and Recognizing Human Body Gestures through 3D Eigenpostures,” International Journal of Machine Learning and Cybernetics, vol. 10, iss. 5, pp. 1205-226, 2019.
[Bibtex]@article{marcon2019framework, author = {Marcon, Marco and Paracchini, Marco Brando Mario and Tubaro, Stefano}, doi = {10.1007/s13042-018-0801-1}, groups = {image}, journal = {International Journal of Machine Learning and Cybernetics}, number = {5}, pages = {1205-226}, title = {A Framework for Interpreting, Modeling and Recognizing Human Body Gestures through {3D} Eigenpostures}, volume = {10}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1007/s13042-018-0801-1}} - D. Scazzoli, G. Bartezzaghi, D. Uysal, M. Magarini, M. Melacini, and M. Marcon, “Usage of Hough Transform for Expiry Date Extraction via Optical Character Recognition,” in Advances in Science and Engineering Technology International Conferences (ASET), 2019, pp. 1-6.
[Bibtex]@inproceedings{scazzoli2019usage, author = {D. {Scazzoli} and G. {Bartezzaghi} and D. {Uysal} and M. {Magarini} and M. {Melacini} and M. {Marcon}}, booktitle = {Advances in Science and Engineering Technology International Conferences (ASET)}, doi = {10.1109/ICASET.2019.8714306}, groups = {image}, month = {March}, pages = {1-6}, title = {Usage of Hough Transform for Expiry Date Extraction via Optical Character Recognition}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/ICASET.2019.8714306}}
2018
- A. Brokalakis, A. Nikitakis, T. N. I. Papaefstathiou, S. Andrianakis, A. Dollas, M. Paracchini, M. Marcon, D. P. Pau, and E. Plebani, “An Open-Source, Extendable, Highly-Accurate and Security-Aware Simulator for CLoud Applicationss,” in Conference on Innovation in Clouds, Internet and Networks (ICIN), 2018.
[Bibtex]@inproceedings{brokalakis2018open, author = {A. Brokalakis and A. Nikitakis and I. Papaefstathiou, N. Tampouratzis and St. Andrianakis and A. Dollas and M. Paracchini and M. Marcon and D.P. Pau and E. Plebani}, booktitle = {Conference on Innovation in Clouds, Internet and Networks (ICIN)}, groups = {image}, title = {An Open-Source, Extendable, Highly-Accurate and Security-Aware Simulator for CLoud Applicationss}, year = {2018}} - A. Brokalakis, N. Tampouratzis, A. Nikitakis, I. Papaefstathiou, S. Andrianakis, D. Pau, E. Plebani, M. Paracchini, M. Marcon, I. Sourdis, P. R. Geethakumari, M. C. Palacios, M. A. Anton, and A. Szasz, “COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for Systems of Systems,” in Euromicro Conference on Digital System Design (DSD), 2018, pp. 115-120.
[Bibtex]@inproceedings{brokalakis2018cossim, author = {A. {Brokalakis} and N. {Tampouratzis} and A. {Nikitakis} and I. {Papaefstathiou} and S. {Andrianakis} and D. {Pau} and E. {Plebani} and M. {Paracchini} and M. {Marcon} and I. {Sourdis} and P. R. {Geethakumari} and M. C. {Palacios} and M. A. {Anton} and A. {Szasz}}, booktitle = {Euromicro Conference on Digital System Design (DSD)}, doi = {10.1109/DSD.2018.00033}, groups = {image}, pages = {115-120}, title = {COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for Systems of Systems}, year = {2018}, Bdsk-Url-1 = {https://doi.org/10.1109/DSD.2018.00033}}
2017
- M. Paracchini, E. Plebani, M. B. Iche, D. P. Pau, and M. Marcon, “Embedded Real-Time Visual Search with Visual Distance Estimation,” in Image Analysis and Processing (ICIAP), 2017, p. 59–69.
[Bibtex]@inproceedings{paracchini2017embedded, author = {M. Paracchini and Plebani, Emanuele and Iche, Mehdi Ben and Pau, Danilo Pietro and Marcon, Marco}, booktitle = {Image Analysis and Processing (ICIAP)}, groups = {image}, pages = {59--69}, title = {Embedded Real-Time Visual Search with Visual Distance Estimation}, year = {2017}} - D. Martino, Y. Shen, M. Paracchini, M. Marcon, E. Plebani, and D. P. Pau, “Accurate Cyber-physical System Simulation for Distributed Visual Search Applications,” in IEEE International Forum on Research and Technologies for Society and Industry (RTSI), 2017, pp. 1-5.
[Bibtex]@inproceedings{martino2017accurate, author = {D. Martino and Y. Shen and M. Paracchini and M. Marcon and E. Plebani and D. P. Pau}, booktitle = {IEEE International Forum on Research and Technologies for Society and Industry (RTSI)}, doi = {10.1109/RTSI.2017.8065917}, groups = {image}, pages = {1-5}, title = {Accurate Cyber-physical System Simulation for Distributed Visual Search Applications}, year = {2017}, Bdsk-Url-1 = {https://doi.org/10.1109/RTSI.2017.8065917}}
2016
- M. Paracchini, M. Marcon, E. Plebani, and D. P. Pau, “Visual Search of multiple objects from a single query,” in IEEE International Conference on Consumer Electronics – Berlin (ICCE-Berlin), 2016, pp. 41-45.
[Bibtex]@inproceedings{paracchini2016visual, author = {M. Paracchini and M. Marcon and E. Plebani and D. P. Pau}, booktitle = {IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)}, doi = {10.1109/ICCE-Berlin.2016.7684712}, groups = {image}, pages = {41-45}, title = {Visual Search of multiple objects from a single query}, year = {2016}, Bdsk-Url-1 = {https://doi.org/10.1109/ICCE-Berlin.2016.7684712}} - M. Paracchini, A. Schepis, M. Marcon, M. Falchetto, E. Plebani, and D. Pau, “Accurate Omnidirectional Multi-camera Embedded Structure from Motion,” in IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016, pp. 1-6.
[Bibtex]@inproceedings{paracchini2016accurate, author = {M. Paracchini and A. Schepis and M. Marcon and M. Falchetto and E. Plebani and D. Pau}, booktitle = {IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)}, doi = {10.1109/RTSI.2016.7740560}, groups = {image}, pages = {1-6}, title = {Accurate Omnidirectional Multi-camera Embedded Structure from Motion}, year = {2016}, Bdsk-Url-1 = {https://doi.org/10.1109/RTSI.2016.7740560}}
2015
- M. Paracchini, M. Marcon, D. Pau, M. Falchetto, and E. Plebani, “Accurate Characterization of Embedded Structure from Motion,” in IEEE International Workshop on Consumer Electronics (CE WS), 2015, pp. 5-8.
[Bibtex]@inproceedings{paracchini2015accurate, author = {M. Paracchini and M. Marcon and D. Pau and M. Falchetto and E. Plebani}, booktitle = {IEEE International Workshop on Consumer Electronics (CE WS)}, doi = {10.1109/CEWS.2015.7867140}, groups = {image}, pages = {5-8}, title = {Accurate Characterization of Embedded Structure from Motion}, year = {2015}, Bdsk-Url-1 = {https://doi.org/10.1109/CEWS.2015.7867140}}
Multimedia Forensics
With the rapid proliferation of inexpensive acquisition and storage devices, multimedia objects can be easily created, stored, transmitted, modified and tampered with by anyone. During its lifetime, a digital object might go through several processing stages, including multiple analog-to-digital (A/D) and digital-to-analog (D/A) conversions, coding and decoding, transmission, and editing.
Traces left by processing operations can be exploited to develop solutions that enable to expose the past history of multimedia content. Leveraging these footprints, we develop techniques with different goals:
- Detect forgeries in images and videos.
- Link an image or video to the originating device used to shoot it.
- Discriminate between original imagery and fakes obtained through CNNs and GANs.
- Analyze satellite images to detect manipulation.
- Expose forgeries on images belonging to scientific publications to fight author misconduct.
Related publications
2024
- D. Salvi, T. S. B., P. Bestagini, and S. Tubaro, “Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Workshop, 2024.
[Bibtex]@InProceedings{salvi2024listening, author = {Salvi, D. and S. B., Temesgen and Bestagini, P. and Tubaro, S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Workshop}, title = {Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content}, year = {2024}, groups = {forensics}, } - A. K. Singh Yadav, K. Bhagtani, S. Baireddy, P. Bestagini, S. Tubaro, and E. J. Delp, “Mdrt: Multi-Domain Synthetic Speech Localization,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
[Bibtex]@InProceedings{singhyadav2024mdrt, author = {Singh Yadav, Amit Kumar and Bhagtani, Kratika and Baireddy, Sriram and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {Mdrt: Multi-Domain Synthetic Speech Localization}, year = {2024}, doi = {10.1109/ICASSP48485.2024.10446471}, groups = {forensics}, keywords = {Location awareness;Neural networks;Finance;Transformers;Acoustics;Fraud;Speech synthesis;Synthetic speech localization;speech forensics;deepfake speech;PartialSpoof;anti-spoofing}, } - E. D. Cannas, P. Beaus, P. Bestagini, F. Marques, and S. Tubaro, “A One-Class Approach to Detect Super-Resolution Satellite Imagery with Spectral Features,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
[Bibtex]@InProceedings{cannas2024one, author = {Cannas, E. D. and Beaus, P. and Bestagini, P. and Marques, F. and Tubaro, S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {A One-Class Approach to Detect Super-Resolution Satellite Imagery with Spectral Features}, year = {2024}, doi = {10.1109/ICASSP48485.2024.10446619}, groups = {forensics}, keywords = {Training;Image coding;Pipelines;Superresolution;Signal processing algorithms;Feature extraction;Satellite images;Image super-resolution;image forensics;CNNs;satellite imagery}, }
2023
- D. Salvi, H. Liu, S. Mandelli, P. Bestagini, W. Zhou, W. Zhang, and S. Tubaro, “A Robust Approach to Multimodal Deepfake Detection,” Journal of Imaging, vol. 9, iss. 6, 2023.
[Bibtex]@Article{salvi2023robust, author = {Salvi, Davide and Liu, Honggu and Mandelli, Sara and Bestagini, Paolo and Zhou, Wenbo and Zhang, Weiming and Tubaro, Stefano}, journal = {Journal of Imaging}, title = {A Robust Approach to Multimodal Deepfake Detection}, year = {2023}, doi = {10.3390/jimaging9060122}, number = {6}, url = {https://www.mdpi.com/2313-433X/9/6/122}, volume = {9}, groups = {forensics}, } - D. Salvi, M. Pezzoli, S. Mandelli, P. Bestagini, and S. Tubaro, “Are you Really Alone? Detecting the use of Speech Separation Techniques on Audio Recordings,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2023, pp. 1-6.
[Bibtex]@InProceedings{salvi2023are, author = {Salvi, Davide and Pezzoli, Mirco and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, title = {Are you Really Alone? Detecting the use of Speech Separation Techniques on Audio Recordings}, year = {2023}, doi = {10.1109/WIFS58808.2023.10374717}, pages = {1-6}, groups = {audio, forensics}, keywords = {Training;Fourier transforms;Forensics;Detectors;Media;Audio recording;Signal representation;Forensics;Audio;Speech;Speech Separation}, } - D. Salvi, P. Bestagini, and S. Tubaro, “Reliability Estimation for Synthetic Speech Detection,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
[Bibtex]@InProceedings{salvi2023reliability, author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {Reliability Estimation for Synthetic Speech Detection}, year = {2023}, doi = {10.1109/ICASSP49357.2023.10095524}, groups = {audio, forensics}, keywords = {Training;Deepfakes;Forensics;Estimation;Detectors;Signal processing;Reliability;Audio Forensics;Speech;Deepfake;Reliability}, } - D. Salvi, B. Hosler, P. Bestagini, M. C. Stamm, and S. Tubaro, “TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection,” IEEE Access, vol. 11, pp. 50851-50866, 2023.
[Bibtex]@Article{salvi2023timit, author = {Salvi, Davide and Hosler, Brian and Bestagini, Paolo and Stamm, Matthew C. and Tubaro, Stefano}, journal = {IEEE Access}, title = {TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection}, year = {2023}, date = {2023}, doi = {10.1109/ACCESS.2023.3276480}, pages = {50851-50866}, volume = {11}, groups = {audio, forensics}, keywords = {Deepfakes;Detectors;Audio systems;Speech synthesis;Media;Forensics;Visualization;Audio;multimodal;deepfake;forensics;synthetic speech;text-to-speech;TIMIT}, } - D. Salvi, P. Bestagini, and S. Tubaro, “Towards Frequency Band Explainability in Synthetic Speech Detection,” in European Signal Processing Conference (EUSIPCO), 2023.
[Bibtex]@InProceedings{salvi2023towards, author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {European Signal Processing Conference (EUSIPCO)}, title = {Towards Frequency Band Explainability in Synthetic Speech Detection}, year = {2023}, doi = {10.23919/EUSIPCO58844.2023.10289804}, groups = {audio, forensics}, } - D. Salvi, P. Bestagini, and S. Tubaro, “Synthetic Speech Detection through Audio Folding,” in ACM International Workshop on Multimedia AI against Disinformation, 2023.
[Bibtex]@InProceedings{salvi2023synthetic, author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {ACM International Workshop on Multimedia AI against Disinformation}, title = {Synthetic Speech Detection through Audio Folding}, year = {2023}, doi = {10.1145/3592572.3592844}, publisher = {Association for Computing Machinery}, series = {MAD '23}, url = {https://doi.org/10.1145/3592572.3592844}, groups = {audio, forensics}, } - A. K. Singh Yadav, K. Bhagtani, Z. Xiang, P. Bestagini, S. Tubaro, and E. J. Delp, “DSVAE: Disentangled Representation Learning for Synthetic Speech Detection,” in International Conference on Machine Learning and Applications (ICMLA), 2023, pp. 472-479.
[Bibtex]@InProceedings{singhyadav2023dsvae, author = {Singh Yadav, Amit Kumar and Bhagtani, Kratika and Xiang, Ziyue and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, booktitle = {International Conference on Machine Learning and Applications (ICMLA)}, title = {{DSVAE}: Disentangled Representation Learning for Synthetic Speech Detection}, year = {2023}, doi = {10.1109/ICMLA58977.2023.00072}, pages = {472-479}, groups = {forensics, audio}, keywords = {Representation learning;Deep learning;Visualization;Synthesizers;Finance;Detectors;Fraud;disentangled representation learning;synthetic speech detection;explainable AI;autoencoder}, } - A. K. Singh Yadav, Z. Xiang, K. Bhagtani, P. Bestagini, S. Tubaro, and E. J. Delp, “PS3DT: Synthetic Speech Detection Using Patched Spectrogram Transformer,” in International Conference on Machine Learning and Applications (ICMLA), 2023, pp. 496-503.
[Bibtex]@InProceedings{singhyadav2023ps3dt, author = {Singh Yadav, Amit Kumar and Xiang, Ziyue and Bhagtani, Kratika and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, booktitle = {International Conference on Machine Learning and Applications (ICMLA)}, title = {{PS3DT}: Synthetic Speech Detection Using Patched Spectrogram Transformer}, year = {2023}, doi = {10.1109/ICMLA58977.2023.00075}, pages = {496-503}, groups = {forensics, audio}, keywords = {Location awareness;Synthesizers;Neural networks;Transformers;Telephone sets;Robustness;Fraud;synthetic speech detection;deep learning;signal processing;ASVspoof2019;transformer networks}, } - E. D. Cannas, S. Baireddy, P. Bestagini, S. Tubaro, and E. J. Delp, “Enhancement Strategies For Copy-Paste Generation & Localization in RGB Satellite Imagery,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2023 2023, pp. 1-6.
[Bibtex]@InProceedings{cannas2023enhancement, author = {Cannas, Edoardo Daniele and Baireddy, Sriram and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, title = {Enhancement Strategies For Copy-Paste Generation & Localization in {RGB} Satellite Imagery}, year = {2023}, date = {2023}, doi = {10.1109/WIFS58808.2023.10374637}, pages = {1-6}, groups = {forensics}, } - K. Bhagtani, A. K. S. Yadav, Z. Xiang, P. Bestagini, and E. J. Delp, “FGSSAT : Unsupervised Fine-Grain Attribution of Unknown Speech Synthesizers Using Transformer Networks,” in Asilomar Conference on Signals, Systems, and Computers, 2023, pp. 1135-1140.
[Bibtex]@InProceedings{bhagtani2023fgssat, author = {Bhagtani, Kratika and Yadav, Amit Kumar Singh and Xiang, Ziyue and Bestagini, Paolo and Delp, Edward J.}, booktitle = {Asilomar Conference on Signals, Systems, and Computers}, title = {{FGSSAT} : Unsupervised Fine-Grain Attribution of Unknown Speech Synthesizers Using Transformer Networks}, year = {2023}, doi = {10.1109/IEEECONF59524.2023.10476982}, pages = {1135-1140}, groups = {forensics, audio}, keywords = {Training;Dimensionality reduction;Computers;Synthesizers;Neural networks;Transformers;Generators;Synthetic speech attribution;speech forensics;deepfake speech;transformer;unsupervised clustering}, } - H. Liu, X. Li, W. Zhou, H. Fang, P. Bestagini, W. Zhang, Y. Chen, S. Tubaro, N. Yu, Y. He, and H. Xue, “BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake,” in ACM International Conference on Multimedia, 2023.
[Bibtex]@InProceedings{liu2023bifpro, author = {Liu, Honggu and Li, Xiaodan and Zhou, Wenbo and Fang, Han and Bestagini, Paolo and Zhang, Weiming and Chen, Yuefeng and Tubaro, Stefano and Yu, Nenghai and He, Yuan and Xue, Hui}, booktitle = {ACM International Conference on Multimedia}, title = {{BiFPro}: A Bidirectional Facial-data Protection Framework against DeepFake}, year = {2023}, doi = {10.1145/3581783.3613752}, url = {https://doi.org/10.1145/3581783.3613752}, abstract = {The rapid progress of the DeepFake technique has caused severe privacy problems. Thus protecting facial data against DeepFake becomes an urgent requirement. Face protection can be regarded as a bidirectional process: Face-out-detection (FOD) and Face-in-forensics (FIF). For FOD, the detectability should be satisfied when using the protected face to replace other faces. For FIF, traceability should be guaranteed when the protected face is replaced by others. For this, we propose a Bidirectional Facial-data Protection Framework (BiFPro) to protect face data comprehensively. This framework is composed of three main parts: Watermarking embedding, Face-out-detection (FOD) and Face-in-forensics (FIF). For the FOD case, we ensure the vulnerability of the original face by embedding fragile watermarking. Once the protected facial image is used to replace other faces, the watermarking information will be corrupted in the synthesized face images which can be used to detect the authenticity of the protected facial images. As for the FIF case, we guarantee the traceability of the protected face image by embedding robust watermarking, with which the fake faces can be traced with the reserved watermarking even after the face is swapped. Experimental results demonstrate that our proposed BiFPro could generate the watermarking which is fragile to FOD and at the same time robust to FIF with an average watermark extraction success rate reaching more than 95\% when defending against the four advanced DeepFake techniques. Finally, we hope this work can encourage more initiative countermeasures against DeepFake.}, groups = {forensics}, keywords = {traceability, forensics, digital watermarking, deepfake}, } - H. Liu, P. Bestagini, L. Huang, W. Zhou, S. Tubaro, W. Zhang, and N. Yu, “It Wasn’t Me: Irregular Identity in Deepfake Videos,” in IEEE International Conference on Image Processing (ICIP), 2023, pp. 2770-2774.
[Bibtex]@InProceedings{liu2023it, author = {Liu, Honggu and Bestagini, Paolo and Huang, Lin and Zhou, Wenbo and Tubaro, Stefano and Zhang, Weiming and Yu, Nenghai}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, title = {It Wasn’t Me: Irregular Identity in Deepfake Videos}, year = {2023}, doi = {10.1109/ICIP49359.2023.10222654}, pages = {2770-2774}, groups = {forensics}, keywords = {Deepfakes;Image coding;Forensics;Semantics;Time series analysis;Detectors;Feature extraction;DeepFake Detection;Identity Inconsistency;Interpretability;Robustness}, } - D. Salvi, C. Borrelli, P. Bestagini, F. Antonacci, M. Stamm, L. Marcenaro, and A. Majumdar, “Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions],” IEEE Signal Processing Magazine, vol. 40, iss. 6, pp. 92-98, 2023.
[Bibtex]@Article{salvi2023synthetica, author = {Salvi, Davide and Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Stamm, Matthew and Marcenaro, Lucio and Majumdar, Angshul}, journal = {IEEE Signal Processing Magazine}, title = {Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]}, year = {2023}, doi = {10.1109/MSP.2023.3268823}, number = {6}, pages = {92-98}, volume = {40}, groups = {forensics}, keywords = {Neural networks;Signal processing;Speech synthesis;Digital communication;Multimedia communication;Speech synthesis;Voice activity detection}, } - E. D. Cannas, S. Mandelli, P. Bestagini, S. Tubaro, and E. J. Delp, “Deep Image Prior Amplitude SAR Image Anonymization,” Remote Sensing, vol. 15, iss. 15, 2023.
[Bibtex]@Article{cannas2023deep, author = {Cannas, Edoardo Daniele and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, journal = {Remote Sensing}, title = {Deep Image Prior Amplitude {SAR} Image Anonymization}, year = {2023}, doi = {10.3390/rs15153750}, issn = {2072-4292}, number = {15}, url = {https://www.mdpi.com/2072-4292/15/15/3750}, volume = {15}, abstract = {This paper presents an extensive evaluation of the Deep Image Prior (DIP) technique for image inpainting on Synthetic Aperture Radar (SAR) images. SAR images are gaining popularity in various applications, but there may be a need to conceal certain regions of them. Image inpainting provides a solution for this. However, not all inpainting techniques are designed to work on SAR images. Some are intended for use on photographs, while others have to be specifically trained on top of a huge set of images. In this work, we evaluate the performance of the DIP technique that is capable of addressing these challenges: it can adapt to the image under analysis including SAR imagery; it does not require any training. Our results demonstrate that the DIP method achieves great performance in terms of objective and semantic metrics. This indicates that the DIP method is a promising approach for inpainting SAR images, and can provide high-quality results that meet the requirements of various applications.}, article-number = {3750}, groups = {forensics}, } - D. U. Leonzio, L. Cuccovillo, P. Bestagini, M. Marcon, P. Aichroth, and S. Tubaro, “Audio Splicing Detection and Localization Based on Acquisition Device Traces,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 18, pp. 4157-4172, 2023.
[Bibtex]@Article{leonzio2023audio, author = {Leonzio, Daniele Ugo and Cuccovillo, Luca and Bestagini, Paolo and Marcon, Marco and Aichroth, Patrick and Tubaro, Stefano}, journal = {IEEE Transactions on Information Forensics and Security (TIFS)}, title = {Audio Splicing Detection and Localization Based on Acquisition Device Traces}, year = {2023}, doi = {10.1109/TIFS.2023.3293415}, pages = {4157-4172}, volume = {18}, groups = {audio, forensics}, keywords = {Splicing;Microphones;Location awareness;Feature extraction;Audio recording;Forensics;Task analysis;Audio forensics;audio authentication;microphone fingerprints;splicing detection;splicing localization}, } - Z. Xiang, A. K. S. Yadav, S. Tubaro, P. Bestagini, and E. J. Delp, “Extracting Efficient Spectrograms From MP3 Compressed Speech Signals for Synthetic Speech Detection,” in ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), New York, NY, USA, 2023, p. 163–168.
[Bibtex]@InProceedings{xiang2023extracting, author = {Xiang, Ziyue and Yadav, Amit Kumar Singh and Tubaro, Stefano and Bestagini, Paolo and Delp, Edward J.}, booktitle = {ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec)}, title = {Extracting Efficient Spectrograms From {MP3} Compressed Speech Signals for Synthetic Speech Detection}, year = {2023}, doi = {10.1145/3577163.3595104}, isbn = {9798400700545}, pages = {163–168}, publisher = {Association for Computing Machinery}, series = {IH&MMSec '23}, url = {https://doi.org/10.1145/3577163.3595104}, abstract = {Many speech signals are compressed with MP3 to reduce the data rate. In many synthetic speech detection methods the spectrogram of the speech signal is used. This usually requires the speech signal to be fully decompressed. We show that the design of MP3 compression allows one to approximate the spectrogram of the MP3 compressed speech efficiently without fully decoding the compressed speech. We denote the spectograms obtained using our proposed approach by Efficient Spectrograms (E-Specs). E-Spec can reduce the complexity of spectrogram computation by ~77.60 percentage points (p.p.) and save ~37.87 p.p. of MP3 decoding time. E-Spec bypasses the reconstruction artifacts introduced by the MP3 synthesis filterbank, which makes it useful in speech forensics tasks. We tested E-Spec in the synthetic speech detection, where a detector is asked to determine whether a speech signal is synthesized or recorded from a human. We examined 4 different neural network architectures to evaluate the performance of E-Spec compared to speech features extracted from the fully decoded speech signal. E-Spec achieved the best synthetic speech detection performance for 3 architectures; it also achieved the best overall detection performance across architectures. The computation of E-Spec is an approximation to Short Time Fourier Transform (STFT). E-Spec can be extended to other audio compression methods.}, address = {New York, NY, USA}, groups = {audio, forensics}, keywords = {asvspoof19, audio compression, deep learning, mp3 compression, signal processing, synthetic speech detection}, numpages = {6}, } - K. Bhagtani, E. R. Bartusiak, A. K. S. Yadav, P. Bestagini, and E. J. Delp, “Synthesized Speech Attribution Using The Patchout Spectrogram Attribution Transformer,” in ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), New York, NY, USA, 2023 2023, p. 157–162.
[Bibtex]@InProceedings{bhagtani2023synthesized, author = {Bhagtani, Kratika and Bartusiak, Emily R. and Yadav, Amit Kumar Singh and Bestagini, Paolo and Delp, Edward J.}, booktitle = {ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec)}, title = {Synthesized Speech Attribution Using The Patchout Spectrogram Attribution Transformer}, year = {2023}, date = {2023}, doi = {10.1145/3577163.3595112}, isbn = {9798400700545}, location = {Chicago, IL, USA}, pages = {157–162}, publisher = {Association for Computing Machinery}, series = {IH&MMSec '23}, url = {https://doi.org/10.1145/3577163.3595112}, abstract = {The malicious use of synthetic speech has increased with the recent availability of speech generation tools. It is important to determine whether a speech signal is authentic (spoken by a human) or is synthesized and to determine the generation method used to create it. Identifying the synthesis method is known as synthetic speech attribution. In this paper, we propose the use of a transformer deep learning method that analyzes mel-spectrograms for synthetic speech attribution. Our method known as Patchout Spectrogram Attribution Transformer (PSAT) can distinguish new, unseen speech generation methods from those seen during training. PSAT demonstrates high performance in attributing synthetic speech signals. Evaluation on the DARPA SemaFor Audio Attribution Dataset and the ASVSpoof2019 Dataset shows that our method achieves more than 95\% accuracy in synthetic speech attribution and performs better than existing deep learning approaches.}, address = {New York, NY, USA}, groups = {audio, forensics}, keywords = {transformers, synthetic speech, mel-spectrograms, deep learning, audio forensics}, numpages = {6}, } - A. K. Singh Yadav, Z. Xiang, E. R. Bartusiak, P. Bestagini, S. Tubaro, and E. J. Delp, “ASSD: Synthetic Speech Detection in the AAC Compressed Domain,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
[Bibtex]@InProceedings{singhyadav2023assd, author = {Singh Yadav, Amit Kumar and Xiang, Ziyue and Bartusiak, Emily R. and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {{ASSD}: Synthetic Speech Detection in the {AAC} Compressed Domain}, year = {2023}, doi = {10.1109/ICASSP49357.2023.10095043}, groups = {audio, forensics}, keywords = {Social networking (online);Audio coding;Neural networks;Metadata;Transformers;Speech synthesis;Data mining;Synthetic speech detection;speech forensics;compressed speech;metadata;transformer}, } - Z. Xiang, A. K. S. Yadav, P. Bestagini, S. Tubaro, and E. J. Delp, “MTN: Forensic Analysis of MP4 Video Files Using Graph Neural Networks,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023-06 2023, pp. 963-972.
[Bibtex]@InProceedings{xiang2023mtn, author = {Xiang, Ziyue and Yadav, Amit Kumar Singh and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop}, title = {{MTN}: Forensic Analysis of {MP4} Video Files Using Graph Neural Networks}, year = {2023}, date = {2023-06}, pages = {963-972}, groups = {forensics}, }
2022
- E. D. Cannas, N. Bonettini, S. Mandelli, P. Bestagini, and S. Tubaro, “Amplitude SAR Imagery Splicing Localization,” IEEE Access, vol. 10, pp. 33882-33899, 2022.
[Bibtex]@Article{cannas2022amplitude, author = {Cannas, Edoardo Daniele and Bonettini, Nicolò and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano}, title = {Amplitude {SAR} Imagery Splicing Localization}, journal = {IEEE Access}, year = {2022}, volume = {10}, pages = {33882-33899}, doi = {10.1109/ACCESS.2022.3161836}, groups = {forensics}, } - F. Picetti, S. Mandelli, P. Bestagini, V. Lipari, and S. Tubaro, “DIPPAS: a deep image prior PRNU anonymization scheme,” EURASIP Journal on Information Security, vol. 2022, 2022.
[Bibtex]@Article{picetti2022dippas, author = {Picetti, Francesco and Mandelli, Sara and Bestagini, Paolo and Lipari, Vincenzo and Tubaro, Stefano}, title = {{DIPPAS}: a deep image prior {PRNU} anonymization scheme}, journal = {EURASIP Journal on Information Security}, year = {2022}, volume = {2022}, doi = {10.1186/s13635-022-00128-7}, url = {https://doi.org/10.1186/s13635-022-00128-7}, groups = {forensics}, } - E. D. Cannas, J. Horváth, S. Baireddy, P. Bestagini, E. J. Delp, and S. Tubaro, “Panchromatic Imagery Copy-Paste Localization Through Data-Driven Sensor Attribution,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
[Bibtex]@InProceedings{cannas2022panchromatic, author = {Cannas, E. D. and Horváth, J. and Baireddy, S. and Bestagini, P. and Delp, E. J. and Tubaro, S.}, title = {Panchromatic Imagery Copy-Paste Localization Through Data-Driven Sensor Attribution}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year = {2022}, doi = {10.1109/ICASSP43922.2022.9746308}, groups = {forensics}, } - E. Conti, D. Salvi, C. Borrelli, B. Hosler, P. Bestagini, F. Antonacci, A. Sarti, M. C. Stamm, and S. Tubaro, “Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
[Bibtex]@InProceedings{conti2022deepfake, author = {Conti, Emanuele and Salvi, Davide and Borrelli, Clara and Hosler, Brian and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Stamm, Matthew C. and Tubaro, Stefano}, title = {Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year = {2022}, doi = {10.1109/ICASSP43922.2022.9747186}, groups = {audio, forensics}, } - Z. Xiang, P. Bestagini, S. Tubaro, and E. J. Delp, “Forensic Analysis and Localization of Multiply Compressed MP3 Audio Using Transformers,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
[Bibtex]@InProceedings{xiang2022forensic, author = {Xiang, Ziyue and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, title = {Forensic Analysis and Localization of Multiply Compressed MP3 Audio Using Transformers}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year = {2022}, doi = {10.1109/ICASSP43922.2022.9747639}, groups = {forensics, audio}, } - M. Papa, C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “A Data-Driven Approach for Acoustic Parameter Similarity Estimation of Speech Recording,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
[Bibtex]@InProceedings{papa2022data, author = {Papa, Mattia and Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Tubaro, Stefano}, title = {A Data-Driven Approach for Acoustic Parameter Similarity Estimation of Speech Recording}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year = {2022}, doi = {10.1109/ICASSP43922.2022.9747043}, groups = {forensics, audio}, } - L. Cuccovillo, A. Giganti, P. Bestagini, P. Aichroth, and S. Tubaro, “Spectral Denoising for Microphone Classification,” in International Workshop on Multimedia AI against Disinformation, 2022.
[Bibtex]@InProceedings{cuccovillo2022spectral, author = {Cuccovillo, Luca and Giganti, Antonio and Bestagini, Paolo and Aichroth, Patrick and Tubaro, Stefano}, title = {Spectral Denoising for Microphone Classification}, booktitle = {International Workshop on Multimedia {AI} against Disinformation}, year = {2022}, doi = {10.1145/3512732.3533586}, url = {https://doi.org/10.1145/3512732.3533586}, groups = {forensics, audio}, } - J. Horváth, X. Ziyue, E. D. Cannas, P. Bestagini, S. Tubaro, and E. J. Delp, “Sat U-net: a fusion based method for forensic splicing localization in satellite images,” in Multimodal Image Exploitation and Learning 2022, 2022, p. 1210002.
[Bibtex]@inproceedings{horvath2022sat, title={Sat U-net: a fusion based method for forensic splicing localization in satellite images}, author={Horv{\'a}th, J{\'a}nos and Ziyue, Xiang and Cannas, Edoardo Daniele and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.}, booktitle={Multimodal Image Exploitation and Learning 2022}, volume={12100}, pages={1210002}, year={2022}, organization={SPIE}, groups = {forensics} } - N. Bonettini, C. A. Gonano, P. Bestagini, M. Marcon, B. Garavelli, and S. Tubaro, “Comparing AutoEncoder Variants for Real-Time Denoising of Hyperspectral X-Ray,” IEEE Sensors Journal, vol. 22, iss. 18, p. 17997–18007, 2022.
[Bibtex]@article{bonettini2022comparing, title={Comparing AutoEncoder Variants for Real-Time Denoising of Hyperspectral X-Ray}, author={Bonettini, Nicolo and Gonano, Carlo Andrea and Bestagini, Paolo and Marcon, Marco and Garavelli, Bruno and Tubaro, Stefano}, journal={IEEE Sensors Journal}, volume={22}, number={18}, pages={17997--18007}, year={2022}, publisher={IEEE}, groups={forensics} } - A. Giganti, L. Cuccovillo, P. Bestagini, P. Aichroth, and S. Tubaro, “Speaker-independent microphone identification in noisy conditions,” in 30th European Signal Processing Conference (EUSIPCO), 2022, p. 1047–1051.
[Bibtex]@inproceedings{giganti2022speaker, title={Speaker-independent microphone identification in noisy conditions}, author={Giganti, Antonio and Cuccovillo, Luca and Bestagini, Paolo and Aichroth, Patrick and Tubaro, Stefano}, booktitle={30th European Signal Processing Conference (EUSIPCO)}, pages={1047--1051}, year={2022}, organization={IEEE}, groups={forensics, audio} } - L. Abady, E. D. Cannas, P. Bestagini, B. Tondi, S. Tubaro, M. Barni, and others, “An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images,” APSIPA Transactions on Signal and Information Processing, vol. 11, iss. 1, 2022.
[Bibtex]@article{abady2022overview, title={An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images}, author={Abady, Lydia and Cannas, Edoardo Daniele and Bestagini, Paolo and Tondi, Benedetta and Tubaro, Stefano and Barni, Mauro and others}, journal={APSIPA Transactions on Signal and Information Processing}, volume={11}, number={1}, year={2022}, publisher={Now Publishers, Inc.}, groups={forensics} } - S. Mandelli, N. Bonettini, P. Bestagini, and S. Tubaro, “Detecting GAN-generated images by orthogonal training of multiple CNNs,” in IEEE International Conference on Image Processing (ICIP), 2022, p. 3091–3095.
[Bibtex]@inproceedings{mandelli2022detecting, title={Detecting GAN-generated images by orthogonal training of multiple CNNs}, author={Mandelli, Sara and Bonettini, Nicol{\`o} and Bestagini, Paolo and Tubaro, Stefano}, booktitle={IEEE International Conference on Image Processing (ICIP)}, pages={3091--3095}, year={2022}, organization={IEEE}, groups={forensics} } - L. Attorresi, D. Salvi, C. Borrelli, P. Bestagini, and S. Tubaro, “Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection,” in International Conference on Pattern Recognition (ICPR), 2022.
[Bibtex]@inproceedings{attorresi2022combining, title={Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection}, author={Attorresi, Luigi and Salvi, Davide and Borrelli, Clara and Bestagini, Paolo and Tubaro, Stefano}, booktitle={International Conference on Pattern Recognition (ICPR)}, year={2022}, groups={forensics, audio} } - D. Moreira, J. P. Cardenuto, R. Shao, S. Baireddy, D. Cozzolino, D. Gragnaniello, W. Abd-Almageed, P. Bestagini, S. Tubaro, A. Rocha, W. Scheirer, L. Verdoliva, and E. Delp, “SILA: a system for scientific image analysis,” Scientific Reports, vol. 12, p. 18306, 2022.
[Bibtex]@Article{moreira2022sila, author = {Moreira, Daniel and Cardenuto, Jo{\~{a}}o Phillipe and Shao, Ruiting and Baireddy, Sriram and Cozzolino, Davide and Gragnaniello, Diego and Abd-Almageed, Wael and Bestagini, Paolo and Tubaro, Stefano and Rocha, Anderson and Scheirer, Walter and Verdoliva, Luisa and Delp, Edward}, title = {{SILA: a system for scientific image analysis}}, journal = {Scientific Reports}, year = {2022}, volume = {12}, pages = {18306}, doi = {10.1038/s41598-022-21535-3}, url = {https://doi.org/10.1038/s41598-022-21535-3}, groups = {forensics}, } - D. Salvi, P. Bestagini, and S. Tubaro, “Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2022.
[Bibtex]@InProceedings{salvi2022exploring, author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, title = {Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors}, year = {2022}, doi = {10.1109/WIFS55849.2022.9975440}, groups = {audio, forensics}, keywords = {Deepfakes;Adaptation models;Forensics;Conferences;Detectors;Speech synthesis;Security;Forensics;Audio;Speech;Deepfake;Attribution}, } - S. Mandelli, D. Cozzolino, E. D. Cannas, J. P. Cardenuto, D. Moreira, P. Bestagini, W. J. Scheirer, A. Rocha, L. Verdoliva, S. Tubaro, and E. J. Delp, “Forensic Analysis of Synthetically Generated Western Blot Images,” IEEE Access, vol. 10, pp. 59919-59932, 2022.
[Bibtex]@Article{mandelli2022forensica, author = {Mandelli, Sara and Cozzolino, Davide and Cannas, Edoardo D. and Cardenuto, João P. and Moreira, Daniel and Bestagini, Paolo and Scheirer, Walter J. and Rocha, Anderson and Verdoliva, Luisa and Tubaro, Stefano and Delp, Edward J.}, title = {Forensic Analysis of Synthetically Generated Western Blot Images}, doi = {10.1109/ACCESS.2022.3179116}, pages = {59919-59932}, volume = {10}, groups = {forensics}, journal = {IEEE Access}, publisher = {IEEE}, year = {2022}, }
2021
- B. Hosler, D. Salvi, A. Murray, F. Antonacci, P. Bestagini, S. Tubaro, and M. C. Stamm, “Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2021.
[Bibtex]@InProceedings{hosler2021do, author = {Hosler, B. and Salvi, D. and Murray, A. and Antonacci, F. and Bestagini, P. and Tubaro, S. and Stamm, M. C.}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop}, title = {Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies}, year = {2021}, groups = {forensics}, } - N. Bonettini, E. D. Cannas, S. Mandelli, L. Bondi, P. Bestagini, and S. Tubaro, “Video Face Manipulation Detection Through Ensemble of CNNs,” in International Conference on Pattern Recognition (ICPR), 2021.
[Bibtex]@InProceedings{bonettini2021video, author = {Bonettini, N. and Cannas, E. D. and Mandelli, S. and Bondi, L. and Bestagini, P. and Tubaro, S.}, title = {Video Face Manipulation Detection Through Ensemble of {CNNs}}, booktitle = {International Conference on Pattern Recognition (ICPR)}, year = {2021}, groups = {forensics}, } - N. Bonettini, P. Bestagini, S. Milani, and S. Tubaro, “On the Use of Benford’s Law to Detect GAN-Generated Images,” in International Conference on Pattern Recognition (ICPR), 2021.
[Bibtex]@InProceedings{bonettini2021use, author = {Bonettini, N. and Bestagini, P. and Milani, S. and Tubaro, S.}, title = {On the Use of {Benford}'s Law to Detect {GAN}-Generated Images}, booktitle = {International Conference on Pattern Recognition (ICPR)}, year = {2021}, groups = {forensics}, } - C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Synthetic speech detection through short-term and long-term prediction traces,” EURASIP Journal on Information Security, vol. 2021, iss. 1, p. 2, 2021.
[Bibtex]@article{borrelli2021synthetic, author = {Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Tubaro, Stefano}, doi = {10.1186/s13635-021-00116-3}, groups = {audio, forensics}, journal = {EURASIP Journal on Information Security}, number = {1}, pages = {2}, title = {{Synthetic speech detection through short-term and long-term prediction traces}}, url = {https://doi.org/10.1186/s13635-021-00116-3}, volume = {2021}, year = {2021}} - M. Pilia, S. Mandelli, P. Bestagini, and S. Tubaro, “Time Scaling Detection and Estimation in Audio Recordings,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2021.
[Bibtex]@InProceedings{pilia2021time, author = {Pilia, Michele and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano}, title = {Time Scaling Detection and Estimation in Audio Recordings}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, year = {2021}, doi = {10.1109/WIFS53200.2021.9648389}, groups = {forensics}, } - E. D. Cannas, S. Baireddy, E. R. Bartusiak, S. K. Yarlagadda, M. D. Montserrat, P. Bestagini, S. Tubaro, and E. J. Delp, “Open-Set Source Attribution for Panchromatic Satellite Imagery,” in IEEE International Conference on Image Processing (ICIP), 2021.
[Bibtex]@InProceedings{cannas2021open, author = {Cannas, E. D. and Baireddy, S. and Bartusiak, E. R. and Yarlagadda, S. K. and Montserrat, D. Mas and Bestagini, P. and Tubaro, S. and Delp, E. J.}, title = {Open-Set Source Attribution for Panchromatic Satellite Imagery}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, year = {2021}, doi = {10.1109/ICIP42928.2021.9506600}, groups = {forensics}, }
2020
- B. Peixoto, B. Lavi, P. Bestagini, Z. Dias, and A. Rocha, “Multimodal Violence Detection in Videos,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
[Bibtex]@inproceedings{peixoto2020multimodal, author = {B. {Peixoto} and B. {Lavi} and P. {Bestagini} and Z. {Dias} and A. {Rocha}}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Multimodal Violence Detection in Videos}, year = {2020}} - S. Mandelli, F. Argenti, P. Bestagini, M. Iuliani, A. Piva, and S. Tubaro, “A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos,” in IEEE International Conference on Image Processing (ICIP), 2020.
[Bibtex]@inproceedings{mandelli2020modified, author = {Mandelli, S. and Argenti, F. and Bestagini, P. and Iuliani, M. and Piva, A. and Tubaro, S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {A Modified {Fourier-Mellin} Approach for Source Device Identification on Stabilized Videos}, year = {2020}} - R. Castelletto, S. Milani, and P. Bestagini, “Phylogenetic Minimum Spanning Tree Reconstruction Using Autoencoders,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
[Bibtex]@inproceedings{castelletto2020phylogenetic, author = {Castelletto, R. and Milani, S. and Bestagini, P.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Phylogenetic Minimum Spanning Tree Reconstruction Using Autoencoders}, year = {2020}} - S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “CNN-based fast source device identification,” IEEE Signal Processing Letters (SPL), 2020.
[Bibtex]@article{mandelli2020cnn, author = {Mandelli, S. and Cozzolino, D. and Bestagini, P. and Verdoliva, L. and Tubaro, S.}, groups = {forensics}, journal = {IEEE Signal Processing Letters (SPL)}, title = {{CNN}-based fast source device identification}, year = {2020}} - S. Mandelli, N. Bonettini, P. Bestagini, and S. Tubaro, “Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020.
[Bibtex]@inproceedings{mandelli2020training, author = {S. {Mandelli} and N. {Bonettini} and P. {Bestagini} and S. {Tubaro}}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, groups = {forensics}, title = {Training {CNN}s in Presence of {JPEG} Compression: Multimedia Forensics vs Computer Vision}, year = {2020}} - D. Capoferri, C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Speech Audio Splicing Detection and Localization Exploiting Reverberation Cues,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020.
[Bibtex]@inproceedings{capoferri2020speech, author = {Capoferri, Davide and Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Tubaro, Stefano}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, doi = {10.1109/WIFS49906.2020.9360900}, groups = {forensics, audio}, title = {Speech Audio Splicing Detection and Localization Exploiting Reverberation Cues}, year = {2020}} - S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “CNN-Based Fast Source Device Identification,” IEEE Signal Processing Letters (SPL), vol. 27, pp. 1285-1289, 2020.
[Bibtex]@Article{mandelli2020cnn, author = {Mandelli, Sara and Cozzolino, Davide and Bestagini, Paolo and Verdoliva, Luisa and Tubaro, Stefano}, journal = {IEEE Signal Processing Letters (SPL)}, title = {CNN-Based Fast Source Device Identification}, year = {2020}, doi = {10.1109/LSP.2020.3008855}, pages = {1285-1289}, volume = {27}, groups = {forensics}, keywords = {Correlation;Cameras;Training;Computational modeling;Image coding;Standards;Databases}, } - L. Bondi, E. Daniele Cannas, P. Bestagini, and S. Tubaro, “Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020 2020, pp. 1-6.
[Bibtex]@InProceedings{bondi2020training, author = {Bondi, Luca and Daniele Cannas, Edoardo and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, title = {Training Strategies and Data Augmentations in {CNN}-based DeepFake Video Detection}, year = {2020}, date = {2020}, doi = {10.1109/WIFS49906.2020.9360901}, pages = {1-6}, groups = {forensics}, keywords = {Training;Pipelines;Training data;Faces;Videos;Information integrity;Testing}, }
2019
- L. Bondi, P. Bestagini, F. Perez-Gonzalez, and S. Tubaro, “Improving PRNU Compression through Preprocessing, Quantization and Coding,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, pp. 608-620, 2019.
[Bibtex]@article{bondi2019improving, author = {Bondi, L. and Bestagini, P. and Perez-Gonzalez, F. and Tubaro, S.}, doi = {10.1109/TIFS.2018.2859587}, groups = {forensics}, journal = {IEEE Transactions on Information Forensics and Security (TIFS)}, pages = {608-620}, title = {Improving {PRNU} Compression through Preprocessing, Quantization and Coding}, volume = {14}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/TIFS.2018.2859587}} - E. R. Bartusiak, S. K. Yarlagadda, D. Güera, P. Bestagini, S. Tubaro, F. M. Zhu, and E. J. Delp, “Splicing Detection and Localization In Satellite Imagery Using Conditional GANs,” in IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019.
[Bibtex]@inproceedings{bartusiak2019splicing, author = {E. R. {Bartusiak} and S. K. {Yarlagadda} and D. {G\"uera} and P. {Bestagini} and S. {Tubaro} and F. M. {Zhu} and E. J. {Delp}}, booktitle = {IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)}, doi = {10.1109/MIPR.2019.00024}, groups = {forensics}, title = {Splicing Detection and Localization In Satellite Imagery Using Conditional {GAN}s}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/MIPR.2019.00024}} - A. Lieto, D. Moro, F. Devoti, C. Parera, V. Lipari, P. Bestagini, and S. Tubaro, “”Hello? Who Am I Talking to?” A Shallow CNN Approach for Human vs. Bot Speech Classification,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
[Bibtex]@inproceedings{lieto2019hello?, author = {A. {Lieto} and D. {Moro} and F. {Devoti} and C. {Parera} and V. {Lipari} and P. {Bestagini} and S. {Tubaro}}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, doi = {10.1109/ICASSP.2019.8682743}, groups = {forensics}, title = {{"Hello? Who Am I Talking to?" A Shallow CNN Approach for Human vs. Bot Speech Classification}}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/ICASSP.2019.8682743}} - S. K. Yarlagadda, D. Güera, D. M. Montserrat, F. M. Zhu, E. J. Delp, P. Bestagini, and S. Tubaro, “Shadow Removal Detection and Localization for Forensics Analysis,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
[Bibtex]@inproceedings{yarlagadda2019shadow, author = {S. K. {Yarlagadda} and D. {G\"uera} and D. M. {Montserrat} and F. M. {Zhu} and E. J. {Delp} and P. {Bestagini} and S. {Tubaro}}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, doi = {10.1109/ICASSP.2019.8683695}, groups = {forensics}, title = {Shadow Removal Detection and Localization for Forensics Analysis}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/ICASSP.2019.8683695}} - P. R. M. Júnior, L. Bondi, P. Bestagini, S. Tubaro, and A. Rocha, “An In-Depth Study on Open-Set Camera Model Identification,” IEEE Access, 2019.
[Bibtex]@article{junior2019depth, author = {P. R. M. {J\'unior} and L. {Bondi} and P. {Bestagini} and S. {Tubaro} and A. {Rocha}}, doi = {10.1109/ACCESS.2019.2921436}, groups = {forensics}, journal = {IEEE Access}, title = {An In-Depth Study on Open-Set Camera Model Identification}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/ACCESS.2019.2921436}} - S. Mandelli, P. Bestagini, L. Verdoliva, and S. Tubaro, “Facing Device Attribution Problem for Stabilized Video Sequences,” IEEE Transactions on Information Forensics and Security (TIFS), 2019.
[Bibtex]@article{mandelli2019facing, author = {S. {Mandelli} and P. {Bestagini} and L. {Verdoliva} and S. {Tubaro}}, doi = {10.1109/TIFS.2019.2918644}, groups = {forensics}, journal = {IEEE Transactions on Information Forensics and Security (TIFS)}, title = {Facing Device Attribution Problem for Stabilized Video Sequences}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/TIFS.2019.2918644}} - N. Bonettini, D. Güera, L. Bondi, P. Bestagini, E. J. Delp, and S. Tubaro, “Image Anonymization Detection with Deep Handcrafted Features,” in IEEE International Conference on Image Processing (ICIP), 2019.
[Bibtex]@inproceedings{bonettini2019image, author = {Bonettini, Nicolo and G{\"u}era, David and Bondi, Luca and Bestagini, Paolo and Delp, Edward J and Tubaro, Stefano}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Image Anonymization Detection with Deep Handcrafted Features}, url = {https://engineering.purdue.edu/~dgueraco/content/prnu_icip.pdf}, year = {2019}, Bdsk-Url-1 = {https://engineering.purdue.edu/~dgueraco/content/prnu_icip.pdf}} - D. Güera, S. Baireddy, P. Bestagini, S. Tubaro, and E. J. Delp, “We Need No Pixels: Video Manipulation Detection Using Stream Descriptors,” in International Conference on Machine Learning (ICML), Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes Workshop, 2019.
[Bibtex]@inproceedings{gueera2019we, author = {G{\"u}era, D. and Baireddy, S. and Bestagini, P. and Tubaro, S. and Delp, E. J.}, booktitle = {International Conference on Machine Learning (ICML), Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes Workshop}, groups = {forensics}, title = {We Need No Pixels: Video Manipulation Detection Using Stream Descriptors}, year = {2019}} - J. Horvath, D. Güera, S. Kalyan Yarlagadda, P. Bestagini, F. Maggie Zhu, S. Tubaro, and E. J. Delp, “Anomaly-Based Manipulation Detection in Satellite Images,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2019.
[Bibtex]@InProceedings{horvath2019anomaly, author = {Horvath, Janos and G\"uera, David and Kalyan Yarlagadda, Sri and Bestagini, Paolo and Maggie Zhu, Fengqing and Tubaro, Stefano and Delp, Edward J.}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop}, title = {Anomaly-Based Manipulation Detection in Satellite Images}, year = {2019}, groups = {forensics}, } - G. {Pinheiro}, M. {Cirne}, P. {Bestagini}, S. {Tubaro}, and A. {Rocha}, “Detection and Synchronization of Video Sequences for Event Reconstruction,” in IEEE International Conference on Image Processing (ICIP), 2019.
[Bibtex]@inproceedings{pinheiro2019detection, author = {{Pinheiro}, G. and {Cirne}, M. and {Bestagini}, P. and {Tubaro}, S. and {Rocha}, A.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, doi = {10.1109/ICIP.2019.8803545}, groups = {forensics}, title = {Detection and Synchronization of Video Sequences for Event Reconstruction}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/ICIP.2019.8803545}} - P. R. M. Júnior, L. Bondi, P. Bestagini, A. Rocha, and S. Tubaro, “A PRNU-Based Method to Expose Video Device Compositions in Open-Set Setups,” in IEEE International Conference on Image Processing (ICIP), 2019.
[Bibtex]@inproceedings{junior2019prnu, author = {P. R. M. {J{\'u}nior} and L. {Bondi} and P. {Bestagini} and A. {Rocha} and S. {Tubaro}}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, doi = {10.1109/ICIP.2019.8802981}, groups = {forensics}, title = {A {PRNU}-Based Method to Expose Video Device Compositions in Open-Set Setups}, year = {2019}, Bdsk-Url-1 = {https://doi.org/10.1109/ICIP.2019.8802981}} - C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Automatic Reliability Estimation for Speech Audio Surveillance Recordings,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2019.
[Bibtex]@inproceedings{borrelli2019automatic, author = {C. {Borrelli} and P. {Bestagini} and F. {Antonacci} and A. {Sarti} and S. {Tubaro}}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, groups = {forensics}, title = {Automatic Reliability Estimation for Speech Audio Surveillance Recordings}, year = {2019}}
2018
- S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “Blind Detection and Localization of Video Temporal Splicing Exploiting Sensor-Based Footprints,” in European Signal Processing Conference (EUSIPCO), 2018.
[Bibtex]@inproceedings{mandelli2018blind, author = {Mandelli, S. and Cozzolino, D. and Bestagini, P. and Verdoliva, L. and Tubaro, S.}, booktitle = {European Signal Processing Conference (EUSIPCO)}, groups = {forensics}, title = {Blind Detection and Localization of Video Temporal Splicing Exploiting Sensor-Based Footprints}, year = {2018}} - S. K. Yarlagadda, D. Güera, P. Bestagini, F. M. Zhu, S. Tubaro, and E. J. Delp, “Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier,” in IS&T Electronic Imaging (EI), 2018.
[Bibtex]@inproceedings{yarlagadda2018satellite, author = {Yarlagadda, Sri K. and G{\"u}era, David and Bestagini, Paolo and Zhu, F. M. and Tubaro, Stefano and Delp, Edward J.}, booktitle = {IS\&T Electronic Imaging (EI)}, groups = {forensics}, title = {Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier}, year = {2018}} - D. Güera, S. K. Yarlagadda, P. Bestagini, F. M. Zhu, S. Tubaro, and E. J. Delp, “Reliability Map Estimation For CNN-Based Camera Model Attribution,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
[Bibtex]@inproceedings{gueera2018reliability, author = {G{\"u}era, David and Yarlagadda, Sri K. and Bestagini, Paolo and Zhu, F. M. and Tubaro, Stefano and Delp, Edward J.}, booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)}, groups = {forensics}, title = {Reliability Map Estimation For CNN-Based Camera Model Attribution}, year = {2018}} - S. Mandelli, N. Bonettini, P. Bestagini, V. Lipari, and S. Tubaro, “Multiple JPEG compression detection through task-driven non-negative matrix factorization,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
[Bibtex]@inproceedings{mandelli2018multiple, author = {Mandelli, Sara and Bonettini, Nicolo and Bestagini, Paolo and Lipari, Vincenzo and Tubaro, Stefano}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Multiple {JPEG} compression detection through task-driven non-negative matrix factorization}, year = {2018}} - N. Bonettini, L. Bondi, D. Güera, S. Mandelli, P. Bestagini, S. Tubaro, and E. J. Delp, “Fooling PRNU-Based Detectors Through Convolutional Neural Networks,” in European Signal Processing Conference (EUSIPCO), 2018.
[Bibtex]@inproceedings{bonettini2018fooling, author = {Bonettini, N. and Bondi, L. and G{\"u}era, D. and Mandelli, S. and Bestagini, P. and Tubaro, S. and Delp, E. J.}, booktitle = {European Signal Processing Conference (EUSIPCO)}, groups = {forensics}, title = {Fooling PRNU-Based Detectors Through Convolutional Neural Networks}, year = {2018}} - S. Verde, L. Bondi, P. Bestagini, S. Milani, G. Calvagno, and S. Tubaro, “Video Codec Forensics Based on Convolutional Neural Networks,” in IEEE International Conference on Image Processing (ICIP), 2018.
[Bibtex]@inproceedings{verde2018video, author = {Verde, Sebastiano and Bondi, Luca and Bestagini, Paolo and Milani, Simone and Calvagno, Giancarlo and Tubaro, Stefano}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Video Codec Forensics Based on Convolutional Neural Networks}, year = {2018}} - N. Bonettini, L. Bondi, P. Bestagini, and S. Tubaro, “JPEG Implementation Forensics Based on Eigen-Algorithms,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2018.
[Bibtex]@inproceedings{bonettini2018jpeg, author = {N. {Bonettini} and L. {Bondi} and P. {Bestagini} and S. {Tubaro}}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, doi = {10.1109/WIFS.2018.8630765}, groups = {forensics}, title = {{JPEG} Implementation Forensics Based on Eigen-Algorithms}, year = {2018}, Bdsk-Url-1 = {https://doi.org/10.1109/WIFS.2018.8630765}} - M. Stamm, P. Bestagini, L. Marcenaro, and P. Campisi, “Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions],” IEEE Signal Processing Magazine (SPM), vol. 35, pp. 168-174, 2018.
[Bibtex]@article{stamm2018forensic, author = {M. {Stamm} and P. {Bestagini} and L. {Marcenaro} and P. {Campisi}}, doi = {10.1109/MSP.2018.2847326}, groups = {forensics}, journal = {IEEE Signal Processing Magazine (SPM)}, pages = {168-174}, title = {{Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions]}}, volume = {35}, year = {2018}, Bdsk-Url-1 = {https://doi.org/10.1109/MSP.2018.2847326}}
2017
- L. Bondi, L. Baroffio, D. Güera, P. Bestagini, E. J. Delp, and S. Tubaro, “First Steps Toward Camera Model Identification With Convolutional Neural Networks,” IEEE Signal Processing Letters (SPL), vol. 24, pp. 259-263, 2017.
[Bibtex]@article{bondi2017first, author = {Bondi, Luca and Baroffio, Luca and G{\"u}era, David and Bestagini, Paolo and Delp, Edward J. and Tubaro, Stefano}, doi = {10.1109/LSP.2016.2641006}, groups = {forensics}, journal = {IEEE Signal Processing Letters (SPL)}, pages = {259-263}, title = {First Steps Toward Camera Model Identification With Convolutional Neural Networks}, volume = {24}, year = {2017}, Bdsk-Url-1 = {https://doi.org/10.1109/LSP.2016.2641006}} - A. Ferreira, L. Bondi, L. Baroffio, P. Bestagini, J. Huang, J. A. dos Santos, S. Tubaro, and A. Rocha, “Data-Driven Feature Characterization Techniques for Laser Printer Attribution,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 12, pp. 1860-1873, 2017.
[Bibtex]@article{ferreira2017data, author = {A. Ferreira and L. Bondi and L. Baroffio and P. Bestagini and J. Huang and J. A. dos Santos and S. Tubaro and A. Rocha}, doi = {10.1109/TIFS.2017.2692722}, groups = {forensics}, journal = {IEEE Transactions on Information Forensics and Security (TIFS)}, pages = {1860-1873}, title = {Data-Driven Feature Characterization Techniques for Laser Printer Attribution}, volume = {12}, year = {2017}, Bdsk-Url-1 = {https://doi.org/10.1109/TIFS.2017.2692722}} - L. Bondi, D. Güera, L. Baroffio, P. Bestagini, E. J. Delp, and S. Tubaro, “A Preliminary Study on Convolutional Neural Networks for Camera Model Identification,” in IS&T Electronic Imaging (EI), 2017.
[Bibtex]@inproceedings{bondi2017preliminary, author = {L. Bondi and D. G{\"u}era and L. Baroffio and P. Bestagini and E. J. Delp and S. Tubaro}, booktitle = {IS\&T Electronic Imaging (EI)}, groups = {forensics}, title = {A Preliminary Study on Convolutional Neural Networks for Camera Model Identification}, year = {2017}} - S. Milani, P. Bestagini, and S. Tubaro, “Video Phylogeny Tree Reconstruction Using Aging Measures,” in European Signal Processing Conference (EUSIPCO), 2017.
[Bibtex]@inproceedings{milani2017video, author = {Milani, Simone and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {European Signal Processing Conference (EUSIPCO)}, groups = {forensics}, title = {Video Phylogeny Tree Reconstruction Using Aging Measures}, year = {2017}} - S. Mandelli, L. Bondi, S. Lameri, V. Lipari, P. Bestagini, and S. Tubaro, “Inpainting-Based Camera Anonymization,” in IEEE International Conference on Image Processing (ICIP), 2017.
[Bibtex]@inproceedings{mandelli2017inpainting, author = {Mandelli, Sara and Bondi, Luca and Lameri, Silvia and Lipari, Vincenzo and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Inpainting-Based Camera Anonymization}, year = {2017}} - S. Lameri, L. Bondi, P. Bestagini, and S. Tubaro, “Near-Duplicate Video Detection Exploiting Noise Residual Traces,” in IEEE International Conference on Image Processing (ICIP), 2017.
[Bibtex]@inproceedings{lameri2017duplicate, author = {Lameri, Silvia and Bondi, Luca and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Near-Duplicate Video Detection Exploiting Noise Residual Traces}, year = {2017}} - J. Brogan, P. Bestagini, A. Bharati, A. Pinto, D. Moreira, K. Bowyer, P. Flynn, A. Rocha, and W. Scheirer, “Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization,” in IEEE International Conference on Image Processing (ICIP), 2017.
[Bibtex]@inproceedings{brogan2017spotting, author = {Brogan, J. and Bestagini, P. and Bharati, A. and Pinto, A. and Moreira, D. and Bowyer, K. and Flynn, P. and Rocha, A. and Scheirer, W.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization}, year = {2017}} - S. Verde, S. Milani, P. Bestagini, and S. Tubaro, “Audio Phylogenetic Analysis using Geometric Transforms,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2017.
[Bibtex]@inproceedings{verde2017audio, author = {Verde, Sebastiano and Milani, Simone and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, groups = {forensics}, title = {Audio Phylogenetic Analysis using Geometric Transforms}, year = {2017}} - L. Bondi, F. Perez-Gonzalez, P. Bestagini, and S. Tubaro, “Design of Projection Matrices for PRNU Compression,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2017.
[Bibtex]@inproceedings{bondi2017design, author = {Bondi, Luca and Perez-Gonzalez, Fernando and Bestagini, Paolo and Tubaro, Stefano}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, groups = {forensics}, title = {Design of Projection Matrices for PRNU Compression}, year = {2017}} - D. Güera, Y. Wang, L. Bondi, P. Bestagini, S. Tubaro, and E. J. Delp, “A Counter-Forensic Method for CNN-Based Camera Model Identification,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2017.
[Bibtex]@InProceedings{gueera2017counter, author = {D. G{\"u}era and Y. Wang and L. Bondi and P. Bestagini and S. Tubaro and E. J. Delp}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop}, title = {A Counter-Forensic Method for CNN-Based Camera Model Identification}, year = {2017}, doi = {10.1109/CVPRW.2017.230}, bdsk-url-1 = {https://doi.org/10.1109/CVPRW.2017.230}, groups = {forensics}, } - M. Barni, L. Bondi, N. Bonettini, P. Bestagini, A. Costanzo, M. Maggini, B. Tondi, and S. Tubaro, “Aligned and non-aligned double JPEG detection using convolutional neural networks,” Journal of Visual Communication and Image Representation, vol. 49, pp. 153-163, 2017.
[Bibtex]@article{barni2017aligned, author = {M. Barni and L. Bondi and N. Bonettini and P. Bestagini and A. Costanzo and M. Maggini and B. Tondi and S. Tubaro}, groups = {forensics}, journal = {Journal of Visual Communication and Image Representation}, pages = {153-163}, title = {Aligned and non-aligned double {JPEG} detection using convolutional neural networks}, volume = {49}, year = {2017}} - L. Bondi, S. Lameri, D. Güera, P. Bestagini, E. J. Delp, and S. Tubaro, “Tampering Detection and Localization Through Clustering of Camera-Based CNN Features,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2017.
[Bibtex]@InProceedings{bondi2017tampering, author = {L. Bondi and S. Lameri and D. G{\"u}era and P. Bestagini and E. J. Delp and S. Tubaro}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop}, title = {Tampering Detection and Localization Through Clustering of Camera-Based CNN Features}, year = {2017}, doi = {10.1109/CVPRW.2017.232}, groups = {forensics}, }
2016
- I. Amerini, P. Bestagini, L. Bondi, R. Caldelli, M. Casini, and S. Tubaro, “Smartphone Fingerprint by Mixing Device Sensors Features,” in IS&T Electronic Imaging (EI), 2016.
[Bibtex]@inproceedings{amerini2016smartphone, author = {Amerini, Irene and Bestagini, Paolo and Bondi, Luca and Caldelli, Roberto and Casini, Matteo and Tubaro, Stefano}, booktitle = {IS\&T Electronic Imaging (EI)}, groups = {forensics}, title = {Smartphone Fingerprint by Mixing Device Sensors Features}, year = {2016}} - P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Image phylogeny tree reconstruction based on region selection,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
[Bibtex]@inproceedings{bestagini2016image, author = {Bestagini, P. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Image phylogeny tree reconstruction based on region selection}, year = {2016}} - P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Codec and GOP Identification in Double Compressed Videos,” IEEE Transactions on Image Processing (TIP), vol. 25, pp. 2298-2310, 2016.
[Bibtex]@article{bestagini2016codec, author = {Bestagini, Paolo and Milani, Simone and Tagliasacchi, Marco and Tubaro, Stefano}, doi = {10.1109/TIP.2016.2541960}, groups = {forensics}, journal = {IEEE Transactions on Image Processing (TIP)}, pages = {2298-2310}, title = {Codec and GOP Identification in Double Compressed Videos}, volume = {25}, year = {2016}, Bdsk-Url-1 = {https://doi.org/10.1109/TIP.2016.2541960}} - S. Lameri, P. Bestagini, and S. Tubaro, “Video alignment for phylogenetic analysis,” in European Signal Processing Conference (EUSIPCO), 2016.
[Bibtex]@inproceedings{lameri2016video, author = {S. Lameri and P. Bestagini and S. Tubaro}, booktitle = {European Signal Processing Conference (EUSIPCO)}, doi = {10.1109/EUSIPCO.2016.7760650}, groups = {forensics}, title = {Video alignment for phylogenetic analysis}, year = {2016}, Bdsk-Url-1 = {https://doi.org/10.1109/EUSIPCO.2016.7760650}} - S. Milani, P. Bestagini, and S. Tubaro, “Phylogenetic analysis of near-duplicate and semantically-similar images using viewpoint localization,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2016.
[Bibtex]@inproceedings{milani2016phylogenetic, author = {S. Milani and P. Bestagini and S. Tubaro}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, doi = {10.1109/WIFS.2016.7823909}, groups = {forensics}, title = {Phylogenetic analysis of near-duplicate and semantically-similar images using viewpoint localization}, year = {2016}, Bdsk-Url-1 = {https://doi.org/10.1109/WIFS.2016.7823909}} - F. O. d. Costa, S. Lameri, P. Bestagini, Z. Dias, S. Tubaro, and A. Rocha, “Hash-based frame selection for video phylogeny,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2016.
[Bibtex]@inproceedings{o.costa2016hash, author = {F. d. O. Costa and S. Lameri and P. Bestagini and Z. Dias and S. Tubaro and A. Rocha}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, doi = {10.1109/WIFS.2016.7823906}, groups = {forensics}, title = {Hash-based frame selection for video phylogeny}, year = {2016}, Bdsk-Url-1 = {https://doi.org/10.1109/WIFS.2016.7823906}}
2015
- F. O. Costa, S. Lameri, P. Bestagini, S. Dias, A. Rocha, M. Tagliasacchi, and S. Tubaro, “Phylogeny reconstruction for misaligned and compressed video sequences,” in IEEE International Conference on Image Processing (ICIP), 2015.
[Bibtex]@inproceedings{costa2015phylogeny, author = {Costa, F. O. and Lameri, S. and Bestagini, P. and Dias, S. and Rocha, A. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Phylogeny reconstruction for misaligned and compressed video sequences}, year = {2015}} - A. Melloni, S. Lameri, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Near-duplicate detection and alignment for multi-view videos,” in IEEE International Conference on Image Processing (ICIP), 2015.
[Bibtex]@inproceedings{melloni2015duplicate, author = {Melloni, A. and Lameri, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Near-duplicate detection and alignment for multi-view videos}, year = {2015}} - M. Mascia, A. Canclini, F. Antonacci, M. Tagliasacchi, A. Sarti, and S. Tubaro, “Forensic and anti-forensic analysis of indoor/outdoor classifiers based on acoustic clues,” in European Signal Processing Conference (EUSIPCO), 2015, pp. 2072-2076.
[Bibtex]@inproceedings{mascia2015forensic, art_number = {7362749}, author = {Mascia, M. and Canclini, A. and Antonacci, F. and Tagliasacchi, M. and Sarti, A. and Tubaro, S.}, booktitle = {European Signal Processing Conference (EUSIPCO)}, doi = {10.1109/EUSIPCO.2015.7362749}, groups = {audio, forensics}, pages = {2072-2076}, title = {Forensic and anti-forensic analysis of indoor/outdoor classifiers based on acoustic clues}, year = {2015}, Bdsk-Url-1 = {https://doi.org/10.1109/EUSIPCO.2015.7362749}}
2014
- M. Buccoli, P. Bestagini, M. Zanoni, A. Sarti, and S. Tubaro, “Unsupervised feature learning for bootleg detection using deep learning architectures,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2014.
[Bibtex]@inproceedings{buccoli2014unsupervised, author = {Buccoli, M. and Bestagini, P. and Zanoni, M. and Sarti, A. and Tubaro, S.}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, groups = {forensics}, title = {Unsupervised feature learning for bootleg detection using deep learning architectures}, year = {2014}} - L. Gaborini, P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Multi-Clue Image Tampering Localization,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2014.
[Bibtex]@inproceedings{gaborini2014multi, author = {Gaborini, L. and Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, groups = {forensics}, title = {Multi-Clue Image Tampering Localization}, year = {2014}} - S. Lameri, P. Bestagini, A. Melloni, S. Milani, A. Rocha, M. Tagliasacchi, and S. Tubaro, “Who is my parent? Reconstructing video sequences from partially matching shots,” in IEEE International Conference on Image Processing (ICIP), 2014.
[Bibtex]@inproceedings{lameri2014who, author = {Lameri, S. and Bestagini, P. and Melloni, A. and Milani, S. and Rocha, A. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Who is my parent? {Reconstructing} video sequences from partially matching shots}, year = {2014}} - A. Melloni, P. Bestagini, S. Milani, M. Tagliasacchi, A. Rocha, and S. Tubaro, “Image phylogeny through dissimilarity metrics fusion,” in European Workshop on Visual Information Processing (EUVIP), 2014.
[Bibtex]@inproceedings{melloni2014image, author = {Melloni, A. and Bestagini, P. and Milani, S. and Tagliasacchi, M. and Rocha, A. and Tubaro, S.}, booktitle = {European Workshop on Visual Information Processing (EUVIP)}, groups = {forensics}, title = {Image phylogeny through dissimilarity metrics fusion}, year = {2014}} - S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Antiforensic synthesis of motion vecotrs using template algorithms,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
[Bibtex]@inproceedings{milani2014antiforensic, author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Antiforensic synthesis of motion vecotrs using template algorithms}, year = {2014}} - S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Demosaicing strategy identification via eigenalgorithms,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
[Bibtex]@inproceedings{milani2014demosaicing, author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Demosaicing strategy identification via eigenalgorithms}, year = {2014}} - S. Milani, P. F. Piazza, P. Bestagini, and S. Tubaro, “Audio tampering detection using multimodal features,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
[Bibtex]@inproceedings{milani2014audio, author = {Milani, S. and Piazza, P.F. and Bestagini, P. and Tubaro, S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Audio tampering detection using multimodal features}, year = {2014}}
2013
- P. Bestagini, S. Battaglia, S. Milani, M. Tagliasacchi, and S. Tubaro, “Detection of temporal interpolation in video sequences,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
[Bibtex]@inproceedings{bestagini2013detection, author = {Bestagini, P. and Battaglia, S. and Milani, S. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Detection of temporal interpolation in video sequences}, year = {2013}} - P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Video codec identification extending the idempotency property,” in European Workshop on Visual Information Processing (EUVIP), 2013.
[Bibtex]@inproceedings{bestagini2013video, author = {Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {European Workshop on Visual Information Processing (EUVIP)}, groups = {forensics}, title = {Video codec identification extending the idempotency property}, year = {2013}} - P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Local tampering detection in video sequences,” in IEEE International Workshop on Multimedia Signal Processing (MMSP), 2013.
[Bibtex]@inproceedings{bestagini2013local, author = {Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Workshop on Multimedia Signal Processing (MMSP)}, groups = {forensics}, title = {Local tampering detection in video sequences}, year = {2013}} - P. Bestagini, M. Visentini-Scarzanella, M. Tagliasacchi, P. L. Dragotti, and S. Tubaro, “Video recapture detection based on ghosting artifact analysis,” in IEEE International Conference on Image Processing (ICIP), 2013.
[Bibtex]@inproceedings{bestagini2013videoa, author = {Bestagini, P. and Visentini-Scarzanella, M. and Tagliasacchi, M. and Dragotti, P.L. and Tubaro, S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, groups = {forensics}, title = {Video recapture detection based on ghosting artifact analysis}, year = {2013}} - P. Bestagini, M. Zanoni, L. Albonico, A. Paganini, A. Sarti, and S. Tubaro, “Feature-Based Classification for Audio Bootlegs Detection,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2013.
[Bibtex]@inproceedings{bestagini2013feature, author = {Bestagini, P. and Zanoni, M. and Albonico, L. and Paganini, A. and Sarti, A. and Tubaro, S.}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, groups = {forensics}, title = {Feature-Based Classification for Audio Bootlegs Detection}, year = {2013}} - A. Melloni, P. Bestagini, A. Costanzo, M. Barni, M. Tagliasacchi, and S. Tubaro, “Attacking image classification based on Bag-of-Visual-Words,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2013.
[Bibtex]@inproceedings{melloni2013attacking, author = {Melloni, A. and Bestagini, P. and Costanzo, A. and Barni, M. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)}, groups = {forensics}, title = {Attacking image classification based on Bag-of-Visual-Words}, year = {2013}}
2012
- P. Bestagini, A. Allam, S. Milani, M. Tagliasacchi, and S. Tubaro, “Video codec identification,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012.
[Bibtex]@inproceedings{bestagini2012video, author = {Bestagini, P. and Allam, A. and Milani, S. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, groups = {forensics}, title = {Video codec identification}, year = {2012}} - P. Bestagini, M. Fontani, S. Milani, M. Barni, A. Piva, M. Tagliasacchi, and S. Tubaro, “An overview on video forensics,” in European Signal Processing Conference (EUSIPCO), 2012.
[Bibtex]@inproceedings{bestagini2012overview, author = {Bestagini, P. and Fontani, M. and Milani, S. and Barni, M. and Piva, A. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {European Signal Processing Conference (EUSIPCO)}, groups = {forensics}, title = {An overview on video forensics}, year = {2012}} - S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Multiple compression detection for video sequences,” in IEEE International Workshop on Multimedia Signal Processing (MMSP), 2012.
[Bibtex]@inproceedings{milani2012multiple, author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.}, booktitle = {IEEE International Workshop on Multimedia Signal Processing (MMSP)}, groups = {forensics}, title = {Multiple compression detection for video sequences}, year = {2012}} - S. Milani, M. Fontani, P. Bestagini, M. Barni, A. Piva, M. Tagliasacchi, and S. Tubaro, “An overview on video forensics,” APSIPA Transactions on Signal and Information Processing, vol. 1, p. e2, 2012.
[Bibtex]@article{milani2012overview, author = {Milani, S. and Fontani, M. and Bestagini, P. and Barni, M. and Piva, A. and Tagliasacchi, M. and Tubaro, S.}, groups = {forensics}, journal = {APSIPA Transactions on Signal and Information Processing}, pages = {e2}, title = {An overview on video forensics}, volume = {1}, year = {2012}}
2011
- L. An, P. Wang, A. Sarti, F. Antonacci, and J. Shi, “Hyperbolic boiler tube leak location based on quaternary acoustic array,” Applied Thermal Engineering, vol. 31, pp. 3428-3436, 2011.
[Bibtex]@article{an2011hyperbolic, author = {An, L. and Wang, P. and Sarti, A. and Antonacci, F. and Shi, J.}, doi = {10.1016/j.applthermaleng.2011.06.028}, groups = {audio, forensics}, journal = {Applied Thermal Engineering}, pages = {3428-3436}, title = {Hyperbolic boiler tube leak location based on quaternary acoustic array}, volume = {31}, year = {2011}, Bdsk-Url-1 = {https://doi.org/10.1016/j.applthermaleng.2011.06.028}}
2007
- F. Antonacci, L. Gerosa, A. Sarti, S. Tubaro, and G. Valenzise, “Sound-based classification of objects using a robust fingerprinting approach,” in European Signal Processing Conference (EUSIPCO), 2007, pp. 2321-2325.
[Bibtex]@inproceedings{antonacci2007sound, author = {Antonacci, F. and Gerosa, L. and Sarti, A. and Tubaro, S. and Valenzise, G.}, booktitle = {European Signal Processing Conference (EUSIPCO)}, groups = {audio, forensics}, pages = {2321-2325}, title = {Sound-based classification of objects using a robust fingerprinting approach}, year = {2007}} - L. Gerosa, G. Valenzise, M. Tagliasacchi, F. Antonacci, and A. Sarti, “Scream and gunshot detection in noisy environments,” in European Signal Processing Conference (EUSIPCO), 2007, pp. 1216-1220.
[Bibtex]@inproceedings{gerosa2007scream, author = {Gerosa, L. and Valenzise, G. and Tagliasacchi, M. and Antonacci, F. and Sarti, A.}, booktitle = {European Signal Processing Conference (EUSIPCO)}, groups = {audio, forensics}, pages = {1216-1220}, title = {Scream and gunshot detection in noisy environments}, year = {2007}} - G. Valenzise, L. Gerosa, M. Tagliasacchi, F. Antonacci, and A. Sarti, “Scream and gunshot detection and localization for audio-surveillance systems,” in IEEE Conference on Advanced Video and Signal Based Surveillance, 2007, pp. 21-26.
[Bibtex]@inproceedings{valenzise2007scream, art_number = {4425280}, author = {Valenzise, G. and Gerosa, L. and Tagliasacchi, M. and Antonacci, F. and Sarti, A.}, booktitle = {IEEE Conference on Advanced Video and Signal Based Surveillance}, doi = {10.1109/AVSS.2007.4425280}, groups = {audio, forensics}, pages = {21-26}, title = {Scream and gunshot detection and localization for audio-surveillance systems}, year = {2007}, Bdsk-Url-1 = {https://doi.org/10.1109/AVSS.2007.4425280}}