62 citations · 85 across the 14 of their papers we have counts for
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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…
eess.IV2020★ 1 cited
A New Perspective on Stabilizing GANs training: Direct Adversarial Training
Ziqiang Li, Pengfei Xia, Rentuo Tao +2
Generative Adversarial Networks (GANs) are the most popular image generation models that have achieved remarkable progress on various computer vision tasks. However, training insta…
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…