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Poster
Tue 15:30 Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations
Michael Zhang · Nimit Sohoni · Hongyang Zhang · Chelsea Finn · Christopher Re
Spotlight
Tue 8:30 Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce · Sven Gowal · Thomas Brunner · Evan Shelhamer · Matthias Hein · Taylan Cemgil
Poster
Thu 15:00 Fairness with Adaptive Weights
Junyi Chai · Xiaoqian Wang
Poster
Wed 15:30 Modeling Adversarial Noise for Adversarial Training
Dawei Zhou · Nannan Wang · Bo Han · Tongliang Liu
Spotlight
Wed 10:45 Adversarial Vulnerability of Randomized Ensembles
Hassan Dbouk · Naresh Shanbhag
Spotlight
Tue 8:35 On the Generalization Analysis of Adversarial Learning
Waleed Mustafa · Yunwen Lei · Marius Kloft
Poster
Tue 15:30 Double Sampling Randomized Smoothing
Linyi Li · Jiawei Zhang · Tao Xie · Bo Li
Spotlight
Tue 8:45 On Collective Robustness of Bagging Against Data Poisoning
Ruoxin Chen · Zenan Li · Jie Li · Junchi Yan · Chentao Wu
Poster
Thu 15:00 Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Junlin Wu · Yevgeniy Vorobeychik
Poster
Tue 15:30 Robust Models Are More Interpretable Because Attributions Look Normal
Zifan Wang · Matt Fredrikson · Anupam Datta
Poster
Tue 15:30 Hindering Adversarial Attacks with Implicit Neural Representations
Andrei A Rusu · Dan Andrei Calian · Sven Gowal · Raia Hadsell
Spotlight
Thu 7:30 Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
Namuk Park · Songkuk Kim