[wcoenen]

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.

[Hard_Space]

None 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.

[im3w1l]

The 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.