New Technique for Detecting Deepfake Videos

published 3 weeks ago by UCTV

Shruti Agarwal and her thesis advisor Hany Farid, an incoming professor in the Department of Electrical Engineering and Computer Science and in the School of Information at UC Berkeley, are racing to develop digital forensics tools that can unmask “deepfakes,” hyper-realistic AI-generated videos of people doing or saying things they never did or said. Their technique, which Agarwal presented at the Computer Vision and Pattern Recognition conference, could be used to help journalists, policy makers, and the public stay one step ahead of bogus videos of political or economic leaders that could be used to swing an election, destabilize a financial market, or even incite civil unrest and violence. Series: "UC Berkeley News" [Show ID: 35133]

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