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Does deep machine vision have just noticeable difference (JND)?

Feb 16, 2021
Jian Jin, Xingxing Zhang, Xin Fu, Huan Zhang, Weisi Lin, Jian Lou, Yao Zhao

* 9 pages, 8 figures 

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Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Jan 21, 2021
Huan Zhang, Hongge Chen, Duane Boning, Cho-Jui Hsieh

* Accepted by ICLR 2021. Huan Zhang and Hongge Chen contributed equally 

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Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

Nov 27, 2020
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh


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An Efficient Adversarial Attack for Tree Ensembles

Oct 22, 2020
Chong Zhang, Huan Zhang, Cho-Jui Hsieh

* NeurIPS 2020 

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On $\ell_p$-norm Robustness of Ensemble Stumps and Trees

Sep 29, 2020
Yihan Wang, Huan Zhang, Hongge Chen, Duane Boning, Cho-Jui Hsieh

* ICML 2020 

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The Limit of the Batch Size

Jun 15, 2020
Yang You, Yuhui Wang, Huan Zhang, Zhao Zhang, James Demmel, Cho-Jui Hsieh


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Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data

May 11, 2020
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang


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Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation

Apr 07, 2020
Bowen Wu, Huan Zhang, Mengyuan Li, Zongsheng Wang, Qihang Feng, Junhong Huang, Baoxun Wang


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Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations

Mar 19, 2020
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane Boning, Cho-Jui Hsieh

* Huan Zhang and Hongge Chen contributed equally 

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Automatic Perturbation Analysis on General Computational Graphs

Feb 28, 2020
Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh


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Robustness Verification for Transformers

Feb 16, 2020
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh

* ICLR 2020 

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MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Feb 15, 2020
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang

* In ICLR 2020. 20 Pages 

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Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification

Nov 20, 2019
Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang

* Accepted by IEEE TNNNLS 

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Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Nov 08, 2019
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli


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Enhancing Certifiable Robustness via a Deep Model Ensemble

Oct 31, 2019
Huan Zhang, Minhao Cheng, Cho-Jui Hsieh

* This is an extended version of ICLR 2019 Safe Machine Learning Workshop (SafeML) paper, "RobBoost: A provable approach to boost the robustness of deep model ensemble". May 6, 2019, New Orleans, LA, USA 

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MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences

Aug 14, 2019
Yifu Chen, Zongsheng Wang, Bowen Wu, Mengyuan Li, Huan Zhang, Lin Ma, Feng Liu, Qihang Feng, Baoxun Wang


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Defending Against Adversarial Attacks Using Random Forests

Jun 16, 2019
Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong


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Robustness Verification of Tree-based Models

Jun 15, 2019
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane Boning, Cho-Jui Hsieh

* Hongge Chen and Huan Zhang contributed equally 

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Towards Stable and Efficient Training of Verifiably Robust Neural Networks

Jun 14, 2019
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane Boning, Cho-Jui Hsieh


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Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Jun 12, 2019
Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck

* 27 pages 

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Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks

Apr 12, 2019
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee


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Second Rethinking of Network Pruning in the Adversarial Setting

Mar 29, 2019
Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin


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Robust Decision Trees Against Adversarial Examples

Feb 27, 2019
Hongge Chen, Huan Zhang, Duane Boning, Cho-Jui Hsieh


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A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

Feb 26, 2019
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang


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The Limitations of Adversarial Training and the Blind-Spot Attack

Jan 15, 2019
Huan Zhang, Hongge Chen, Zhao Song, Duane Boning, Inderjit S. Dhillon, Cho-Jui Hsieh

* Accepted by International Conference on Learning Representations (ICLR) 2019. Huan Zhang and Hongge Chen contributed equally 

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Efficient Neural Network Robustness Certification with General Activation Functions

Nov 02, 2018
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel

* Accepted by NIPS 2018. Huan Zhang and Tsui-Wei Weng contributed equally 

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