21 citations · 44 across the 11 of their papers we have counts for
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cs.LG2022★ 3 cited
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge
Dingcheng Yang, Zihao Xiao, Wenjian Yu
Deep neural networks (DNNs) are vulnerable to adversarial examples. And, the adversarial examples have transferability, which means that an adversarial example for a DNN model can…
cs.CV2022★ 4 cited
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition
Xiao Yang, Yinpeng Dong, Tianyu Pang +3
Recent studies have revealed the vulnerability of face recognition models against physical adversarial patches, which raises security concerns about the deployed face recognition s…