New technique for detecting deepfake videos
Channel: UC Berkeley
Date: 2019-06-18

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 this week at the Computer Vision and Pattern Recognition conference in Long Beach, CA, 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.

To read the full story, visit: https://news.berkeley.edu/2019/06/18/researchers-use-facial-quirks-to-unmask-deepfakes/

Deep fake videos of Warren, Obama, Trump produced by researchers at  the University of Southern California

Produced by Roxanne Makasdjian and Stephen McNally
Music: "Is that you or are you you" by Chris Zabriskie

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