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cs.LG2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
Avery Ma, Nikita Dvornik, Ran Zhang +3
Data augmentation is a key element for training accurate models by reducing overfitting and improving generalization. For image classification, the most popular data augmentation t…
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…