Adversarial Training against Location-Optimized Adversarial Patches

5 May 2020Sukrut RaoDavid StutzBernt Schiele

Deep neural networks have been shown to be susceptible to adversarial examples -- small, imperceptible changes constructed to cause mis-classification in otherwise highly accurate image classifiers. As a practical alternative, recent work proposed so-called adversarial patches: clearly visible, but adversarially crafted rectangular patches in images... (read more)

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