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Poster
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On the Tradeoff Between Robustness and Fairness
Xinsong Ma · Zekai Wang · Weiwei Liu
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Workshop
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Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
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Poster
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Wed 14:00
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A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Zonghan Yang · Tianyu Pang · Yang Liu
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Poster
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Tue 9:00
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How Sampling Impacts the Robustness of Stochastic Neural Networks
Sina Däubener · Asja Fischer
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Workshop
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On the Impact of Adversarially Robust Models on Algorithmic Recourse
Satyapriya Krishna · Chirag Agarwal · Himabindu Lakkaraju
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Workshop
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Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Wang · Yanghao Zhang · Wenjie Ruan · Yanbin Zheng
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Poster
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Thu 9:00
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Phase Transition from Clean Training to Adversarial Training
Yue Xing · Qifan Song · Guang Cheng
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Workshop
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Robust Representation Learning for Group Shifts and Adversarial Examples
Ming-Chang Chiu · Xuezhe Ma
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Workshop
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Robust Option Learning for Adversarial Generalization
Kishor Jothimurugan · Steve Hsu · Osbert Bastani · Rajeev Alur
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Poster
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When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Yichuan Mo · Dongxian Wu · Yifei Wang · Yiwen Guo · Yisen Wang
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Workshop
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A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations
Qisai Liu · Xian Yeow Lee · Soumik Sarkar
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Workshop
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An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert · Elvis Dohmatob · Thomas Ricatte
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