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Improving Adversarial Robustness via Mutual Information Estimation


Jul 25, 2022
Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu

* This version has modified Eq.2 and its proof in the published version 

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Harnessing Out-Of-Distribution Examples via Augmenting Content and Style


Jul 07, 2022
Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu


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Device-Cloud Collaborative Recommendation via Meta Controller


Jul 07, 2022
Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang

* KDD 2022 

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Efficient Private SCO for Heavy-Tailed Data via Clipping


Jun 27, 2022
Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Ming-Chang Yang


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Understanding Robust Overfitting of Adversarial Training and Beyond


Jun 22, 2022
Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu

* ICML2022 

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Bilateral Dependency Optimization: Defending Against Model-inversion Attacks


Jun 18, 2022
Xiong Peng, Feng Liu, Jingfen Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han

* Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) 
* Accepted to KDD 2022 (Research Track) 

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Pareto Invariant Risk Minimization


Jun 15, 2022
Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng

* A preprint version, 9 pages, 12 figures 

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Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack


Jun 15, 2022
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng


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Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning


Jun 06, 2022
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu


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Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation


Jun 06, 2022
De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama

* accepted by CVPR2022 

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