62 citations · 116 across the 20 of their papers we have counts for
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cs.LG2021
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…
cs.LG2021
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…
cs.LG2020★ 62 cited
A Systematic Survey of Regularization and Normalization in GANs
Ziqiang Li, Muhammad Usman, Rentuo Tao +4
Generative Adversarial Networks (GANs) have been widely applied in different scenarios thanks to the development of deep neural networks. The original GAN was proposed based on the…