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Spotlight
Mon 20:18 Improving Adversarial Robustness via Channel-wise Activation Suppressing
Yang Bai · Yuyuan Zeng · Yong Jiang · Shu-Tao Xia · Xingjun Ma · Yisen Wang
Spotlight
Tue 11:30 How Does Mixup Help With Robustness and Generalization?
Linjun Zhang · Zhun Deng · Kenji Kawaguchi · Amirata Ghorbani · James Zou
Poster
Mon 9:00 InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Boxin Wang · Shuohang Wang · Yu Cheng · Zhe Gan · Ruoxi Jia · Bo Li · Jingjing Liu
Poster
Thu 1:00 Influence Estimation for Generative Adversarial Networks
Naoyuki Terashita · Hiroki Ohashi · Yuichi Nonaka · Takashi Kanemaru
Workshop
Adversarial Examples Make Stronger Poisons
Liam H Fowl · Micah Goldblum · Ping-yeh Chiang · Jonas Geiping · Tom Goldstein
Poster
Mon 17:00 Online Adversarial Purification based on Self-supervised Learning
Changhao Shi · Chester Holtz · Gal Mishne
Poster
Mon 9:00 Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
Poster
Tue 17:00 CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
Xin Ding · Yongwei Wang · Zuheng Xu · William J Welch · Z. J Wang
Workshop
Fri 9:01 "Differentially Private Synthetic Data Generations Using Generative Adversarial Networks" by Jinsung Yoon, Google Cloud AI
Jinsung Yoon
Workshop
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
Dequan Wang · David Wagner · Trevor Darrell
Poster
Tue 9:00 Understanding Over-parameterization in Generative Adversarial Networks
Yogesh Balaji · Mohammadmahdi Sajedi · Neha Kalibhat · Mucong Ding · Dominik Stöger · Mahdi Soltanolkotabi · Soheil Feizi
Poster
Thu 17:00 Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao · Jonathan Cui · Yilun Sheng · Yue Dong · Xiao Liang · Eric Chang · Yan Xu