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
Authors: Type:

2021

  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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

  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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

  • [DOI] 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}}
  • [DOI] 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

  • [DOI] 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
Authors: Type:

2022

  • [DOI] 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},
}
  • [DOI] 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},
}
  • [DOI] 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},
}
  • [DOI] 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},
}
  • [DOI] 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},
}
  • [DOI] 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},
}
  • [DOI] 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. Salvi, P. Bestagini, and S. Tubaro, “Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors,” in 2022 IEEE International Workshop on Information Forensics and Security (WIFS), 2022, p. 1–6.
    [Bibtex] 
    @inproceedings{salvi2022exploring,
title={Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors},
author={Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
booktitle={2022 IEEE International Workshop on Information Forensics and Security (WIFS)},
pages={1--6},
year={2022},
organization={IEEE},
groups={forensics, audio}
}
  • [DOI] 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},
}
  • [DOI] 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 Workshops (CVPRW), 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 Workshops (CVPRW)},
groups = {forensics},
title = {Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies},
year = {2021}}
  • 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},
}
  • [DOI] 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}}
  • [DOI] 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},
}
  • [DOI] 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}}
  • L. Bondi, E. D. 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.
    [Bibtex] 
    @inproceedings{bondi2020training,
author = {L. {Bondi} and E. D. {Cannas} and P. {Bestagini} and S. {Tubaro}},
booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
groups = {forensics},
title = {Training Strategies and Data Augmentations in {CNN}-based DeepFake Video Detection},
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}}
  • [DOI] 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}}

2019

  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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 Workshop (CVPRW), 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 Workshop (CVPRW)},
groups = {forensics},
title = {Anomaly-Based Manipulation Detection in Satellite Images},
year = {2019}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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

  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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 Workshops (CVPRW), 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 Workshops (CVPRW)},
doi = {10.1109/CVPRW.2017.230},
groups = {forensics},
title = {A Counter-Forensic Method for CNN-Based Camera Model Identification},
year = {2017},
Bdsk-Url-1 = {https://doi.org/10.1109/CVPRW.2017.230}}
  • 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}}
  • [DOI] 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 Workshops (CVPRW), 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 Workshops (CVPRW)},
doi = {10.1109/CVPRW.2017.232},
groups = {forensics},
title = {Tampering Detection and Localization Through Clustering of Camera-Based CNN Features},
year = {2017}}

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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] 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

  • [DOI] 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}}
  • [DOI] 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}}
  • [DOI] D. Salvi, H. Liu, S. Mandelli, P. Bestagini, W. Zhou, W. Zhang, and S. Tubaro, “A Robust Approach to Multimodal Deepfake Detection,” , vol. 9, iss. 6.
    [Bibtex] 
    @Article{salvi2023robust,
author = {Salvi, Davide and Liu, Honggu and Mandelli, Sara and Bestagini, Paolo and Zhou, Wenbo and Zhang, Weiming and Tubaro, Stefano},
date = {2023},
journaltitle = {Journal of Imaging},
title = {A Robust Approach to Multimodal Deepfake Detection},
doi = {10.3390/jimaging9060122},
issn = {2313-433X},
number = {6},
url = {https://www.mdpi.com/2313-433X/9/6/122},
volume = {9},
abstract = {The widespread use of deep learning techniques for creating realistic synthetic media, commonly known as deepfakes, poses a significant threat to individuals, organizations, and society. As the malicious use of these data could lead to unpleasant situations, it is becoming crucial to distinguish between authentic and fake media. Nonetheless, though deepfake generation systems can create convincing images and audio, they may struggle to maintain consistency across different data modalities, such as producing a realistic video sequence where both visual frames and speech are fake and consistent one with the other. Moreover, these systems may not accurately reproduce semantic and timely accurate aspects. All these elements can be exploited to perform a robust detection of fake content. In this paper, we propose a novel approach for detecting deepfake video sequences by leveraging data multimodality. Our method extracts audio-visual features from the input video over time and analyzes them using time-aware neural networks. We exploit both the video and audio modalities to leverage the inconsistencies between and within them, enhancing the final detection performance. The peculiarity of the proposed method is that we never train on multimodal deepfake data, but on disjoint monomodal datasets which contain visual-only or audio-only deepfakes. This frees us from leveraging multimodal datasets during training, which is desirable given their lack in the literature. Moreover, at test time, it allows to evaluate the robustness of our proposed detector on unseen multimodal deepfakes. We test different fusion techniques between data modalities and investigate which one leads to more robust predictions by the developed detectors. Our results indicate that a multimodal approach is more effective than a monomodal one, even if trained on disjoint monomodal datasets.},
article-number = {122},
groups = {forensics},
pubmedid = {37367470},
}
  • [DOI] S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “CNN-Based Fast Source Device Identification,” , vol. 27, pp. 1285-1289.
    [Bibtex] 
    @Article{mandelli2020cnn,
author = {Mandelli, Sara and Cozzolino, Davide and Bestagini, Paolo and Verdoliva, Luisa and Tubaro, Stefano},
date = {2020},
journaltitle = {IEEE Signal Processing Letters},
title = {CNN-Based Fast Source Device Identification},
doi = {10.1109/LSP.2020.3008855},
pages = {1285-1289},
volume = {27},
groups = {forensics},
keywords = {Correlation;Cameras;Training;Computational modeling;Image coding;Standards;Databases},
}
  • [DOI] 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, 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)},
date = {2020},
title = {Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection},
doi = {10.1109/WIFS49906.2020.9360901},
pages = {1-6},
groups = {forensics},
keywords = {Training;Pipelines;Training data;Faces;Videos;Information integrity;Testing},
}
  • [DOI] 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)},
date = {2023},
title = {Are you Really Alone? Detecting the use of Speech Separation Techniques on Audio Recordings},
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},
}
  • [DOI] 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, pp. 1-6.
    [Bibtex] 
    @InProceedings{salvi2022exploring,
author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
date = {2022},
title = {Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors},
doi = {10.1109/WIFS55849.2022.9975440},
pages = {1-6},
groups = {audio, forensics},
keywords = {Deepfakes;Adaptation models;Forensics;Conferences;Detectors;Speech synthesis;Security;Forensics;Audio;Speech;Deepfake;Attribution},
}
  • [DOI] 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, pp. 1-5.
    [Bibtex] 
    @InProceedings{salvi2023reliability,
author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
date = {2023},
title = {Reliability Estimation for Synthetic Speech Detection},
doi = {10.1109/ICASSP49357.2023.10095524},
pages = {1-5},
groups = {audio, forensics},
keywords = {Training;Deepfakes;Forensics;Estimation;Detectors;Signal processing;Reliability;Audio Forensics;Speech;Deepfake;Reliability},
}
  • [DOI] D. Salvi, B. Hosler, P. Bestagini, M. C. Stamm, and S. Tubaro, “TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection,” , vol. 11, pp. 50851-50866.
    [Bibtex] 
    @Article{salvi2023timit,
author = {Salvi, Davide and Hosler, Brian and Bestagini, Paolo and Stamm, Matthew C. and Tubaro, Stefano},
date = {2023},
journaltitle = {IEEE Access},
title = {TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection},
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},
}
  • [DOI] D. Salvi, P. Bestagini, and S. Tubaro, “Towards Frequency Band Explainability in Synthetic Speech Detection,” in European Signal Processing Conference (EUSIPCO), 2023, pp. 620-624.
    [Bibtex] 
    @InProceedings{salvi2023towards,
author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
booktitle = {European Signal Processing Conference (EUSIPCO)},
date = {2023},
title = {Towards Frequency Band Explainability in Synthetic Speech Detection},
doi = {10.23919/EUSIPCO58844.2023.10289804},
pages = {620-624},
groups = {audio, forensics},
keywords = {Training;Forensics;Focusing;Europe;Detectors;Media;Signal processing;Multimedia Forensics;Audio;Synthetic Speech;Explainability},
}
  • [DOI] D. Salvi, P. Bestagini, and S. Tubaro, “Synthetic Speech Detection through Audio Folding,” in ACM International Workshop on Multimedia AI against Disinformation, New York, NY, USA, 2023, p. 3–9.
    [Bibtex] 
    @InProceedings{salvi2023synthetic,
author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
booktitle = {ACM International Workshop on Multimedia AI against Disinformation},
date = {2023},
title = {Synthetic Speech Detection through Audio Folding},
doi = {10.1145/3592572.3592844},
isbn = {9798400701870},
location = {Thessaloniki, Greece},
pages = {3–9},
publisher = {Association for Computing Machinery},
series = {MAD '23},
url = {https://doi.org/10.1145/3592572.3592844},
abstract = {In the field of synthetic speech generation, recent advancements in deep learning and speech synthesis methods have enabled the possibility of creating highly realistic fake speech tracks that are difficult to distinguish from real ones. Since the malicious use of these data can lead to dangerous consequences, the audio forensics community has focused on developing synthetic speech detectors to determine the authenticity of speech tracks. In this work we focus on the wide class of detectors that analyze audio streams on a frame-by-frame basis. We propose a technique to reduce the inference time of these detectors by relying on the fact that it is possible to mix multiple audio frames in a single one (i.e., in the same way a mono track is obtained from a stereo one). We test the proposed audio folding technique on speech tracks obtained from the ASVspoof 2019 dataset. The technique proves effective with both entirely and partially fake speech tracks and shows remarkable results, reducing processing time down to 25\%.},
address = {New York, NY, USA},
groups = {audio, forensics},
keywords = {Audio Folding, Audio Forensics, Digital signal processing, Synthetic Speech},
numpages = {7},
}