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Deepfakes are implemented with Generative Adverserial Networks (GANs), where one component is a discriminative network that is already trying to distinguish rea
by wcoenen 7y ago
Deepfakes are implemented with Generative Adverserial Networks (GANs), where one component is a discriminative network that is already trying to distinguish real from fake, to provide feedback to the generation.
So I think any detection algorithms would get into a never-ending arms race.
- im3w1l 7y agoThe discriminative networks aren't very good at discriminating. I remember hearing people in the field saying they deliberately used under-powered discriminators because they got better generators that way. Was a year or two ago though so who knows if that's still true.
- Hard_Space 7y agoNone of the popular distributions use GANs, except that GANs have been used in experimental (later abandoned) modules. Unfortunately the Deepfake/GAN fallacy has been stuck in the Wikipedia entry for years.