most citedImproving Global Adversarial Robustness Generalization With Adversarially Trained GAN

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 6 cited

Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN

Desheng Wang, Weidong Jin, Yunpu Wu +1

Convolutional neural networks (CNNs) have achieved beyond human-level accuracy in the image classification task and are widely deployed in real-world environments. However, CNNs sh…