AutoGAN: Robust Classifier Against Adversarial Attacks

8 Dec 2018Blerta LindqvistShridatt SugrimRauf Izmailov

Classifiers fail to classify correctly input images that have been purposefully and imperceptibly perturbed to cause misclassification. This susceptability has been shown to be consistent across classifiers, regardless of their type, architecture or parameters... (read more)

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