A new paper from researchers in Italy and Germany proposes a method to detect deepfake videos based on biometric face and voice behavior, rather than artifacts created by face synthesis systems, expensive watermarking solutions, or other more unwieldy approaches. The framework requires an input o
  • toneverends@lemmy.ml
    5·
    3 years ago

    …so, just feed this data back into the deep fake engine model until it is indistinguishable again?

  • ganymede@lemmy.ml
    3·
    3 years ago

    Definitely an interesting approach to this current arms race.

    something i’ve wondered is why do we need to rely on such detailed methods? surely at a pixel distribution level there’s enough tells? why is that not the case?

  • Zerush@lemmy.ml
    3·
    3 years ago

    Very necessary, but I have no illusions that this would be a definitive solution. Just as technologies are advanced to detect these fakes, so will those who create them. Deepfake software is FOSS and therefore subject to improvements, especially if it is used by certain groups of government Devs with a lot of resources.