A "deepfake" generated on an nvidia gtx 1080 gaming laptop in hours is not fooling any expert level human. Or even a median one. And would undoubtedly contain c

A "deepfake" generated on an nvidia gtx 1080 gaming laptop in hours is not fooling any expert level human. Or even a median one. And would undoubtedly contain compression artefacts detectable via image analysis. Training a custom deep generative model on massive prior data that can then synthesize image output would require significant cloud GPU resources. And be beyond the level of commitment of all but the most determined of counterfeiters. However, if this indeed becomes a problem. Propaganda from bad state actors, for example. The real solution is exhaustive "reverse" video and image search. Given the output, determine which patches were sampled by the generator. A perfectly reversible process ;)