Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks

30 Sep 2018Kenneth T. CoLuis Muñoz-GonzálezSixte de MaupeouEmil C. Lupu

Deep Convolutional Networks (DCNs) have been shown to be vulnerable to adversarial examples---perturbed inputs specifically designed to produce intentional errors in the learning algorithms at test time. Existing input-agnostic adversarial perturbations exhibit interesting visual patterns that are currently unexplained... (read more)

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