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SUMMARY:Face Presentation Attack Detection
DESCRIPTION:Title: Face Presentation Attack Detection\nSpeaker: Prof. Dr. Sébastien Marcel\, University de Lausanne/IDIAP\, Switzerland\nWhen: 7 December 2022\, at 10am CET (5 pm CST\, 4am ET)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nIn biomatrics\, Presentation Attacks (PS also referred to as spoofing) are performed by falsifying the biometric trait and then presenting this falified information to the biometric system.  One such example is to fool a fingerprint system by copying the fingerprint of another person and creating an artificial or gummy finger which can then be poresented to the biometric system to falsey gain access.  This is an issue that needs to be addressed because it has recently been shown that conventional biometric techniques are vulerable to presentation attacks.  One of the main challenges in Presentation Attack Detection (PAD also referred to as anti-spoofing) is to find a set of features and models (mostly classifiers) that allows systems to effectively distinguish signals that were directly emitted by a human fros those reproduced by an attacker.  This talk will present an overivew of typical face PSs and PAD techniques. \nAbout The Lecturer\nProf. Dr. Sébastien Marcel\, University de Lausanne/IDIAP\, Switzerland\nSébastien Marcel (IEEE Senior member – H-index 63) is Professor at the University de Lausanne (UNIL) at the School of Criminal Justice and lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL) where he is teaching on “Biometrics” and “Fundamentals in Statistical Pattern Recognition” respectively. He serves on the Program Committee of several scientific journals and international conferences in pattern recognition and computer vision. He is a senior researcher at the Idiap Research Institute (Switzerland)\, he heads the Biometrics Security and Privacy group and conducts research on face recognition\, speaker recognition\, vein recognition\, attack detection (presentation attacks\, morphing attacks\, deepfakes) and template protection. He received his Ph.D. degree in signal processing from Université de Rennes I in France (2000) at CNET\, the research center of France Telecom (now Orange Labs). He is also the Director of the Swiss Center for Biometrics Research and Testing\, which conducts certifications of biometric products. He is Associate Editor of IEEE Transactions on Biometrics and Identity Science. He was Associate Editor of IEEE Signal Processing Letters\, Associate Editor of IEEE Transactions on Information Forensics and Security\, a Co-editor of the “Handbook of Biometric Anti-Spoofing”\, a Guest Editor of the IEEE Transactions on Information Forensics and Security Special Issue on “Biometric Spoofing and Countermeasures”\, and Co-editor of the IEEE Signal Processing Magazine Special Issue on “Biometric Security and Privacy”. He is also the lead Editor of the Springer Handbook of Biometrics Anti-Spoofing (Editions 1\, 2 and 3).
URL:https://ieee-biometrics.org/event/face-presentation-attack-detection/
CATEGORIES:Webinar
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DTSTART;TZID=America/New_York:20221012T130000
DTEND;TZID=America/New_York:20221012T140000
DTSTAMP:20240524T090252Z
CREATED:20230307T162338Z
LAST-MODIFIED:20240524T090252Z
UID:10000003-1665579600-1665583200@ieee-biometrics.org
SUMMARY:Combatting Deep Fakes
DESCRIPTION:Recording of the Webinar\n \nAbstract\nIn the early days of the Russian invasion of Ukraine\, President Zelenskyy warned the world that Russia’s digital disinformation machinery would create a deep fake of him admitting defeat. By mid-March of 2022\, a deep fake of Zelenskyy appeared with just this message. This video was eventually debunked\, but not before it spread across social media and appeared briefly on Ukrainian television. Three months later\, the mayors of Berlin\, Madrid\, and Vienna collectively spoke for nearly 30 minutes with a deep-fake version of Kiev Mayor Klitschko\, before realizing they were being duped. In addition to adding jet fuel to disinformation campaigns\, this new breed of synthetic media also makes it easier to deny reality — the so-called liar’s dividend — as seen by the recent baseless claim that video addresses by President Biden are deep fakes deployed to conceal his death. I will discuss how deep fakes are made\, how they are being weaponized\, and how they can be detected. \nAbout The Speaker\nProf. Hany Farid\, University of California\, Berkeley\, USA\nDr. Hany Farid is a Professor at the University of California\, Berkeley with a joint appointment in Electrical Engineering & Computer Sciences and the School of Information. His research focuses on digital forensics\, forensic science\, misinformation\, image analysis\, and human perception. He received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989\, and his Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT\, he joined the faculty at Dartmouth College in 1999 where he remained until 2019. He is the recipient of an Alfred P. Sloan Fellowship\, a John Simon Guggenheim Fellowship\, and a Fellow of the National Academy of Inventors.
URL:https://ieee-biometrics.org/event/combatting-deep-fakes/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220127T090000
DTEND;TZID=America/New_York:20220127T100000
DTSTAMP:20230310T013033Z
CREATED:20230307T162542Z
LAST-MODIFIED:20230310T013033Z
UID:10000004-1643274000-1643277600@ieee-biometrics.org
SUMMARY:Face Recognition and Surveillance: Enhancing Privacy and Fairness
DESCRIPTION:About The Speaker\nProf. Arun Ross\, Michigan State University\, USA\nArun Ross is the John and Eva Cillag Endowed Chair in the College of Engineering and a Professor in the Department of Computer Science and Engineering at Michigan State University. He also serves as the Site Director of the NSF Center for Identification Technology Research (CITeR) and the Director of the iPRoBe Lab. Prior to joining MSU in 2013\, he was a faculty member at West Virginia University (WVU) from 2003 to 2012.
URL:https://ieee-biometrics.org/event/face-recognition-and-surveillance-enhancing-privacy-and-fairness/
CATEGORIES:Webinar
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