Playing the Game of Universal Adversarial Perturbations

20 Sep 2018Julien PerolatMateusz MalinowskiBilal PiotOlivier Pietquin

We study the problem of learning classifiers robust to universal adversarial perturbations. While prior work approaches this problem via robust optimization, adversarial training, or input transformation, we instead phrase it as a two-player zero-sum game... (read more)

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