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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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DTSTART;TZID=America/New_York:20220127T090000
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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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