62 citations · 116 across the 20 of their papers we have counts for
4 papers · 1 filter
Enhancing Backdoor Attacks with Multi-Level MMD Regularization
Pengfei Xia, Hongjing Niu, Ziqiang Li +1
While Deep Neural Networks (DNNs) excel in many tasks, the huge training resources they require become an obstacle for practitioners to develop their own models. It has become comm…
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search
Pengfei Xia, Ziqiang Li, Bin Li
Despite achieving great success, Deep Neural Networks (DNNs) are vulnerable to adversarial examples. How to accurately evaluate the adversarial robustness of DNNs is critical for t…
Exploring The Effect of High-frequency Components in GANs Training
Ziqiang Li, Pengfei Xia, Xue Rui +1
Generative Adversarial Networks (GANs) have the ability to generate images that are visually indistinguishable from real images. However, recent studies have revealed that generate…
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…