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Media Forensics and the Challenge of seminar attended by Marc Robinson Deepfakes

Media Forensics & the Challenge of Deepfakes

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Media Forensics and the Challenge of seminar attended by Marc Robinson Deepfakes


Abstract:
The diffusion of easy‐to‐use editing tools accessible to a wider and wider public induced in the last decade growing issues about the dependability of digital media. Concerns recently reached an unprecedented level thanks to the development of a new class of artificial intelligent techniques capable of producing high quality fake images and videos (e.g., Deepfakes) without requiring any specific technical know‐how from the users. Moreover, nowadays digital media strongly contribute to the viral diffusion of information through social media and web channels, and play a fundamental role in the digital life of individuals and societies. Thus, the necessity of developing tools to preserve the trustworthiness of digital media shared on social media and web platforms is a need that our society can no longer ignore. Previous works in multimedia forensics have studied the detection of various manipulations and the identification of the media source, providing interesting results in laboratory condition and well‐defined scenarios. The research community recently showed the ambition to scale multimedia forensics analysis to real‐world open systems, thus including not only media tampering operations producing deceptive visual information performed with various tools/software, but also routinely applied operations such as sharing through popular web channels like social media. This seminar aims at describing the work done so far by the research community on multimedia forensic analysis of digital images and videos on such issues, highlighting the achieved results but also the current open issues and research challenges.

Short Bio: Dr. Irene Amerini is Assistant Professor at Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Sapienza Università di Roma. In 2018 she obtained a Visiting Research Fellowship at the School of Computing and Mathematics at Charles Sturt University offered by the Australian Government – Department of Education and Training through the Endeavor Scholarship & Fellowship program. In 2010 she spent part of her PhD course at the Digital Data Embedding Laboratory, Department of Electrical and Computer Engineering, Binghamton University (US). She received the Ph. D. in computer engineering, multimedia and telecommunication from the University of Florence in 2011. Her research interests are focused on multimedia forensics and deep learning for image and video analysis. She is member of the EURASIP TAC Biometrics, Data Forensics and Security.

Luca Maiano is a Ph. D. student in Data Science at La Sapienza University and Data Scientist at Elis Innovation Hub. His research focuses on Media Forensics and Computer Vision. In particular, he is currently working on tracking image and video sharing on social networks, deep learning applications for image tampering, and deepfakes.
Abstract: The diffusion of easy‐to‐use editing tools accessible to a wider and wider public induced in the last decade growing issues about the dependability of digital media. Concerns recently reached an unprecedented level thanks to the development of a new class of artificial intelligent techniques capable of producing high quality fake images and videos (e.g., Deepfakes) without requiring any specific technical know‐how from the users. Moreover, nowadays digital media strongly contribute to the viral diffusion of information through social media and web channels, and play a fundamental role in the digital life of individuals and societies. Thus, the necessity of developing tools to preserve the trustworthiness of digital media shared on social media and web platforms is a need that our society can no longer ignore. Previous works in multimedia forensics have studied the detection of various manipulations and the identification of the media source, providing interesting results in laboratory condition and well‐defined scenarios. The research community recently showed the ambition to scale multimedia forensics analysis to real‐world open systems, thus including not only media tampering operations producing deceptive visual information performed with various tools/software, but also routinely applied operations such as sharing through popular web channels like social media. This seminar aims at describing the work done so far by the research community on multimedia forensic analysis of digital images and videos on such issues, highlighting the achieved results but also the current open issues and research challenges.

Short Bio: Dr. Irene Amerini is Assistant Professor at Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Sapienza Università di Roma. In 2018 she obtained a Visiting Research Fellowship at the School of Computing and Mathematics at Charles Sturt University offered by the Australian Government – Department of Education and Training through the Endeavour Scholarship & Fellowship program. In 2010 she spent part of her PhD course at the Digital Data Embedding Laboratory, Department of Electrical and Computer Engineering, Binghamton University (US). She received the Ph.D. in computer engineering, multimedia and telecommunication from the University of Florence in 2011. Her research interests are focused on multimedia forensics and deep learning for image and video analysis. She is member of the EURASIP TAC Biometrics, Data Forensics and Security.

Luca Maiano is a Ph.D. student in Data Science at La Sapienza University and Data Scientist at Elis Innovation Hub. His research focuses on Media Forensics and Computer Vision. In particular, he is currently working on tracking image and video sharing on social networks, deep learning applications for image tampering, and deepfakes.