11 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 7 cited
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness
Xingjun Ma, Linxi Jiang, Hanxun Huang +3
Evaluating the robustness of a defense model is a challenging task in adversarial robustness research. Obfuscated gradients have previously been found to exist in many defense meth…
cs.CV2019★ 11 cited
Heuristic Black-box Adversarial Attacks on Video Recognition Models
Zhipeng Wei, Jingjing Chen, Xingxing Wei +4
We study the problem of attacking video recognition models in the black-box setting, where the model information is unknown and the adversary can only make queries to detect the pr…
cs.LG2019★ 9 cited
Black-box Adversarial Attacks on Video Recognition Models
Linxi Jiang, Xingjun Ma, Shaoxiang Chen +2
Deep neural networks (DNNs) are known for their vulnerability to adversarial examples. These are examples that have undergone small, carefully crafted perturbations, and which can…