most citedImproving Generalization of Adversarial Training via Robust Critical Fine-Tuning

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cs.LG2023★ 2 cited

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

Kaijie Zhu, Jindong Wang, Xixu Hu +2

Deep neural networks are susceptible to adversarial examples, posing a significant security risk in critical applications. Adversarial Training (AT) is a well-established technique…