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cs.LG2025
Wasserstein distributional adversarial training for deep neural networks
Xingjian Bai, Guangyi He, Yifan Jiang +1
Design of adversarial attacks for deep neural networks, as well as methods of adversarial training against them, are subject of intense research. In this paper, we propose methods…
cs.LG2023★ 1 cited
Wasserstein distributional robustness of neural networks
Xingjian Bai, Guangyi He, Yifan Jiang +1
Deep neural networks are known to be vulnerable to adversarial attacks (AA). For an image recognition task, this means that a small perturbation of the original can result in the i…