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Search All 2022 Events
89 Results
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Poster
On the Tradeoff Between Robustness and Fairness
Xinsong Ma · Zekai Wang · Weiwei Liu
Workshop
Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
Poster
Wed 14:00
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Zonghan Yang · Tianyu Pang · Yang Liu
Poster
Tue 9:00
How Sampling Impacts the Robustness of Stochastic Neural Networks
Sina Däubener · Asja Fischer
Workshop
On the Impact of Adversarially Robust Models on Algorithmic Recourse
Satyapriya Krishna · Chirag Agarwal · Himabindu Lakkaraju
Workshop
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Wang · Yanghao Zhang · Wenjie Ruan · Yanbin Zheng
Poster
Thu 9:00
Phase Transition from Clean Training to Adversarial Training
Yue Xing · Qifan Song · Guang Cheng
Workshop
Robust Option Learning for Adversarial Generalization
Kishor Jothimurugan · Steve Hsu · Osbert Bastani · Rajeev Alur
Workshop
Robust Representation Learning for Group Shifts and Adversarial Examples
Ming-Chang Chiu · Xuezhe Ma
Poster
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Yichuan Mo · Dongxian Wu · Yifei Wang · Yiwen Guo · Yisen Wang
Workshop
A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations
Qisai Liu · Xian Yeow Lee · Soumik Sarkar
Workshop
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert · Elvis Dohmatob · Thomas Ricatte
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