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cs.LG2022★ 1 cited
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
Huan Hua, Jun Yan, Xi Fang +3
The information bottleneck (IB) method is a feasible defense solution against adversarial attacks in deep learning. However, this method suffers from the spurious correlation, whic…
cs.CV2022
Wavelet Regularization Benefits Adversarial Training
Jun Yan, Huilin Yin, Xiaoyang Deng +4
Adversarial training methods are state-of-the-art (SOTA) empirical defense methods against adversarial examples. Many regularization methods have been proven to be effective with t…