L 1-norm double backpropagation adversarial defense

5 Mar 2019Ismaïla SeckGaëlle LoosliStephane Canu

Adversarial examples are a challenging open problem for deep neural networks. We propose in this paper to add a penalization term that forces the decision function to be at in some regions of the input space, such that it becomes, at least locally, less sensitive to attacks... (read more)

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