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Understanding the Impact of Adversarial Robustness on Accuracy Disparity


Nov 28, 2022
Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao

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Direct-Effect Risk Minimization for Domain Generalization


Nov 26, 2022
Yuhui Li, Zejia Wu, Chao Zhang, Hongyang Zhang

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Towards Robust Dataset Learning


Nov 19, 2022
Yihan Wu, Xinda Li, Florian Kerschbaum, Heng Huang, Hongyang Zhang

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Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games


Oct 25, 2022
Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar, Hongyang Zhang

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* 22 pages 

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A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition


Oct 05, 2022
Luke Rowe, Benjamin Thérien, Krzysztof Czarnecki, Hongyang Zhang

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* 16 pages, 5 figures, and 3 tables 

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RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval


Jun 17, 2022
Yihan Wu, Hongyang Zhang, Heng Huang

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* accepted by ICML 2022 

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Causal Balancing for Domain Generalization


Jun 10, 2022
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang

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* 16 pages, 3 figures, 4 tables 

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Building Robust Ensembles via Margin Boosting


Jun 07, 2022
Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala

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* Accepted by ICML 2022 

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Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking


May 19, 2022
Minghan Li, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin

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How Many Data Are Needed for Robust Learning?


Feb 23, 2022
Hongyang Zhang, Yihan Wu, Heng Huang

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* 25 pages, 2 figures 

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