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cs.LG2025★ 1 cited
Democratic Training Against Universal Adversarial Perturbations
Bing Sun, Jun Sun, Wei Zhao
Despite their advances and success, real-world deep neural networks are known to be vulnerable to adversarial attacks. Universal adversarial perturbation, an input-agnostic attack,…
cs.LG2022★ 1 cited
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination
Mengdi Zhang, Jun Sun, Jingyi Wang +1
Discrimination has been shown in many machine learning applications, which calls for sufficient fairness testing before their deployment in ethic-relevant domains such as face reco…