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EDoG: Adversarial Edge Detection For Graph Neural Networks


Dec 27, 2022
Xiaojun Xu, Yue Yu, Hanzhang Wang, Alok Lal, Carl A. Gunter, Bo Li

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* Accepted by IEEE Conference on Secure and Trustworthy Machine Learning 2023 

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UniFed: A Benchmark for Federated Learning Frameworks


Jul 21, 2022
Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song

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* Code: https://github.com/AI-secure/FLBenchmark-toolkit Website: https://unifedbenchmark.github.io/ 

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Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization


Feb 03, 2022
Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li

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On the Certified Robustness for Ensemble Models and Beyond


Jul 22, 2021
Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li

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* 57 pages, 11 pages for main text 

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TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness


Apr 01, 2021
Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin Rubinstein, Ce Zhang, Bo Li

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Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks


Feb 25, 2021
Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li

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* Accepted by AISTATS 2021; 9 pages excluding references and appendices 

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QEBA: Query-Efficient Boundary-Based Blackbox Attack


May 28, 2020
Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li

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* Accepted by CVPR 2020 

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Provable Robust Learning Based on Transformation-Specific Smoothing


Mar 20, 2020
Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li

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* Corrected typos in Appendix 

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RAB: Provable Robustness Against Backdoor Attacks


Mar 19, 2020
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li

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