6 citations · 12 across the 4 of their papers we have counts for
Showing 2021 · cs.CVShow all
2 papers · 2 filters
cs.CV2021★ 6 cited
Unrestricted Adversarial Attacks on ImageNet Competition
Yuefeng Chen, Xiaofeng Mao, Yuan He +34
Many works have investigated the adversarial attacks or defenses under the settings where a bounded and imperceptible perturbation can be added to the input. However in the real-wo…
cs.CV2021★ 5 cited
Improving Adversarial Transferability with Gradient Refining
Guoqiu Wang, Huanqian Yan, Ying Guo +1
Deep neural networks are vulnerable to adversarial examples, which are crafted by adding human-imperceptible perturbations to original images. Most existing adversarial attack meth…