It doesn't use a GAN. I haven't read the paper closely, but is uses a feature extracting network and then tries to modify the features to match a different per

It doesn't use a GAN. I haven't read the paper closely, but is uses a feature extracting network and then tries to modify the features to match a different person. It doesn't try to take advantage of degenerative states in existing networks. I think it does things like subtly change the shape of your eyes and whatnot. That makes people consistently difficult to pick out of a large set of unmodified faces, but a hu man still finds the images recognizable because they're comparing it to a smaller set. They didn't create the model by training it on the facial recognizers they tested against, and they tested with several different feature extractors.