When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

CVPR 2020 Minghao GuoYuzhe YangRui XuZiwei LiuDahua Lin

Recent advances in adversarial attacks uncover the intrinsic vulnerability of modern deep neural networks. Since then, extensive efforts have been devoted to enhancing the robustness of deep networks via specialized learning algorithms and loss functions... (read more)

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