An Algorithm For Detecting Face-swaps In Videos

Begun, the deepfake wars have. As usage grows of FakeApp -- the software that makes it comparatively easy to create "deepfaked" face-swapped videos -- a couple of researchers have decided to fight fire with fire. So they trained a deep-learning neural net on tons of examples of deepfaked videos, and produced a model that's better than any previous automated technique at spotting hoaxery.

Topics:  fakeapp   as mit tech review   rossler   it   xceptionnet   detecting   videos   forgery   detection   deep-learning   forged   technique   deepfaked   manipulated   visual   improves   techniques   trained   spot   spotting   fire   harder   results   

 

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