[NoodleIncident]

> Due to the difficulties in achieving Nash equilibria, none of the current GAN-based architectures are optimized to convergence, i.e. the generator never wins against the discriminator.

If I understand the terms used, it sounds like you're suggesting adding this classifier to the discriminator, to avoid detection. Since they are already failing to pass their existing discriminators, it seems like they could try to not be detected, but they wouldn't actually succeed.