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Spotlight
Mon 4:40 How Benign is Benign Overfitting ?
Amartya Sanyal, Puneet Dokania, Varun Kanade, Philip Torr
Oral
Mon 5:00 Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang, Jianing ZHU, Gang Niu, Bo Han, Masashi Sugiyama, Mohan Kankanhalli
Poster
Mon 9:00 Shape-Texture Debiased Neural Network Training
Yinigwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie
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
Mon 17:00 Online Adversarial Purification based on Self-supervised Learning
Changhao Shi, Chester Holtz, Gal Mishne
Poster
Mon 17:00 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
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
Poster
Tue 9:00 How Benign is Benign Overfitting ?
Amartya Sanyal, Puneet Dokania, Varun Kanade, Philip Torr
Spotlight
Tue 11:30 How Does Mixup Help With Robustness and Generalization?
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou
Poster
Tue 17:00 Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim
Poster
Tue 17:00 Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
Spotlight
Tue 19:25 Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman, Zico Kolter
Poster
Wed 1:00 Improving Adversarial Robustness via Channel-wise Activation Suppressing
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
Poster
Wed 1:00 Self-supervised Adversarial Robustness for the Low-label, High-data Regime
Sven Gowal, Po-Sen Huang, Aaron v den, Timothy A Mann, Pushmeet Kohli
Poster
Wed 1:00 Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang, Jianing ZHU, Gang Niu, Bo Han, Masashi Sugiyama, Mohan Kankanhalli
Poster
Wed 1:00 Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Poster
Wed 1:00 Removing Undesirable Feature Contributions Using Out-of-Distribution Data
Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon
Poster
Wed 9:00 Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami, Ali Lotfi, Zico Kolter
Poster
Wed 9:00 How Does Mixup Help With Robustness and Generalization?
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou
Poster
Wed 9:00 Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw, Sahil Singla, Soheil Feizi
Poster
Wed 9:00 Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman, Zico Kolter
Poster
Wed 17:00 Evaluations and Methods for Explanation through Robustness Analysis
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep K Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
Poster
Wed 17:00 Robust Overfitting may be mitigated by properly learned smoothening
Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
Poster
Wed 17:00 Effective and Efficient Vote Attack on Capsule Networks
Jindong Gu, Baoyuan Wu, Volker Tresp
Poster
Thu 1:00 Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
Jan Schuchardt, Aleksandar Bojchevski, Johannes Klicpera, Stephan G√ľnnemann
Poster
Thu 17:00 ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
Kangkang Lu, Cuong Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo
Poster
Thu 17:00 Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Mitchell Hill, Jonathan Mitchell, Song-Chun Zhu
Workshop
Fri 6:22 On Adversarial Robustness: A Neural Architecture Search perspective
Chaitanya Devaguptapu
Workshop
Fri 7:12 Poster Spotlight "On Adversarial Robustness: A Neural Architecture Search perspective"
Chaitanya Devaguptapu
Workshop
Fri 15:11 Contributed Talk #2: RobustBench: a standardized adversarial robustness benchmark
francesco croce, Vikash Sehwag, Prateek Mittal, Matthias Hein
Workshop
RobustBench: a standardized adversarial robustness benchmark
francesco croce
Workshop
Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary
Hyeongji Kim
Workshop
Bridging the Gap Between Adversarial Robustness and Optimization Bias
Fartash Faghri
Workshop
SHIFT INVARIANCE CAN REDUCE ADVERSARIAL ROBUSTNESS
Songwei Ge
Workshop
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness
Linxi Jiang, James Bailey
Workshop
Non-Singular Adversarial Robustness of Neural Networks
Chia-Yi Hsu, Pin-Yu Chen
Workshop
On Improving Adversarial Robustness Using Proxy Distributions
Vikash Sehwag, Chong Xiang, Mung Chiang, Prateek Mittal