most citedImproving Hierarchical Adversarial Robustness of Deep Neural Networks

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.LG2021★ 1 cited

Improving Hierarchical Adversarial Robustness of Deep Neural Networks

Avery Ma, Aladin Virmaux, Kevin Scaman +1

Do all adversarial examples have the same consequences? An autonomous driving system misclassifying a pedestrian as a car may induce a far more dangerous -- and even potentially le…

cs.LG2020

SOAR: Second-Order Adversarial Regularization

Avery Ma, Fartash Faghri, Nicolas Papernot +1

Adversarial training is a common approach to improving the robustness of deep neural networks against adversarial examples. In this work, we propose a novel regularization approach…