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Poster
Tue 15:15 Adversarially Robust Learning with Uncertain Perturbation Sets
Tosca Lechner · Vinayak Pathak · Ruth Urner
Poster
Wed 8:45 On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou · Weiwei Liu
Poster
Thu 15:00 Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
Xinli Yue · Mou Ningping · Qian Wang · Lingchen Zhao
Poster
Tue 15:15 Dynamic Regret of Adversarial Linear Mixture MDPs
Long-Fei Li · Peng Zhao · Zhi-Hua Zhou
Poster
Wed 15:00 Enhancing Adversarial Robustness via Score-Based Optimization
Boya Zhang · Weijian Luo · Zhihua Zhang
Poster
Wed 8:45 Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
Lianghe Shi · Weiwei Liu
Poster
Wed 8:45 Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
Runqi Lin · Chaojian Yu · Tongliang Liu
Poster
Thu 15:00 Adversarial Resilience in Sequential Prediction via Abstention
Surbhi Goel · Steve Hanneke · Shay Moran · Abhishek Shetty
Poster
Wed 8:45 Understanding and Improving Ensemble Adversarial Defense
Yian Deng · Tingting Mu
Poster
Thu 15:00 Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
Gang Li · Gang Li · Wei Tong · Tianbao Yang
Poster
Wed 15:00 BERT Lost Patience Won't Be Robust to Adversarial Slowdown
Zachary Coalson · Gabriel Ritter · Rakesh Bobba · Sanghyun Hong
Poster
Thu 15:00 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao · Qiyu Kang · Yang Song · Rui She · Sijie Wang · Wee Peng Tay