2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2021★ 2 cited
Understanding the Error in Evaluating Adversarial Robustness
Pengfei Xia, Ziqiang Li, Hongjing Niu +1
Deep neural networks are easily misled by adversarial examples. Although lots of defense methods are proposed, many of them are demonstrated to lose effectiveness when against prop…
cs.LG2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients
Pengfei Xia, Bin Li
Improving the resistance of deep neural networks against adversarial attacks is important for deploying models to realistic applications. However, most defense methods are designed…