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They need to be publicly available and differentiable to be able to use as an opponent for a GAN.

Pretty much nothing except other neural networks are differentiable, unless you put effort into designing them to be.




It's feasible to design a reinforcement learning based network that uses output from a non-differentiable deepfake detector as a component of the loss function.




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