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Neural Networks and Domain Anomalies
In security, you can model most interactions as a game where there's attackers trying to break your system. There's also domain adversarial learning, which is an approach to domain adaptation that looks really a lot like GANs. The authors had the idea before the GAN paper came out. They're very nice and sighted the GAn paper, but I know that they actually had the idea BEFORE it came out.