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General Cutting Planes for Bound-Propagation-Based Neural Network Verification


Aug 11, 2022
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter


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Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness


Jun 15, 2022
Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang

* Accepted by ICML 2022 

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On the Robustness of Safe Reinforcement Learning under Observational Perturbations


May 29, 2022
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

* 27 pages, 3 figures, 3 tables 

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BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification


May 24, 2022
Wenhao Huang, Haifan Gong, Huan Zhang, Yu Wang, Haofeng Li, Guanbin Li, Hong Shen


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COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks


Mar 16, 2022
Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li

* Published as a conference paper at ICLR 2022 

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Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks


Dec 15, 2021
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee


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Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds


Nov 02, 2021
Yujia Huang, Huan Zhang, Yuanyuan Shi, J Zico Kolter, Anima Anandkumar

* NeurIPS 2021 

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Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training


Oct 19, 2021
Alexander Pan, Yongkyun Lee, Huan Zhang, Yize Chen, Yuanyuan Shi

* Published at 2021 ICML RL4RL Workshop; Submitted to 2022 PSCC 

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Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks


Apr 30, 2021
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee


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