Huan Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 99

Top Topics

Boosted Decision Trees

Extreme Value Theory

Top Venues

Publications

Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang
Neural Network Verification with Branch-and-Bound for General Nonlinearities. CoRR (2024)
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee
Temporal shuffling for defending deep action recognition models against adversarial attacks. Neural Networks 169 (2024)
Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification. CoRR (2024)
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories. ICLR (2023)
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV (2023)
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories. CoRR (2023)
Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
Provably Bounding Neural Network Preimages. NeurIPS (2023)
Yujia Huang, Ivan Dario Jimenez Rodriguez, Huan Zhang, Yuanyuan Shi, Yisong Yue
FI-ODE: Certified and Robust Forward Invariance in Neural ODEs. CoRR (2022)
Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. ICLR (2022)
Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. CoRR (2022)
Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. CoRR (2022)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. ICPR (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. CoRR (2022)
Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks. ICML (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. NeurIPS (2022)
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh
Are AlphaZero-like Agents Robust to Adversarial Perturbations? NeurIPS (2022)
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. NeurIPS (2022)
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. ICLR (2021)
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
Fast Certified Robust Training with Short Warmup. NeurIPS (2021)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. CoRR (2021)
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. CoRR (2021)
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks. CoRR (2021)
Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. CoRR (2021)
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
Fast Certified Robust Training via Better Initialization and Shorter Warmup. CoRR (2021)
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. CoRR (2021)
Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. NeurIPS (2021)
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. NAACL-HLT (2021)
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. NeurIPS (2021)
Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. ICLR (2021)
Chong Zhang, Huan Zhang, Cho-Jui Hsieh
An Efficient Adversarial Attack for Tree Ensembles. NeurIPS (2020)
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh
Robustness Verification for Transformers. CoRR (2020)
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR (2020)
Yang You, Yuhui Wang, Huan Zhang, Zhao Zhang, James Demmel, Cho-Jui Hsieh
The Limit of the Batch Size. CoRR (2020)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization. ACCV (4) (2020)
Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
-norm Robustness of Ensemble Stumps and Trees. CoRR (2020)
Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. AAAI (2020)
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations. NeurIPS (2020)
Chong Zhang, Huan Zhang, Cho-Jui Hsieh
An Efficient Adversarial Attack for Tree Ensembles. CoRR (2020)
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. CoRR (2020)
Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. NeurIPS (2020)
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh
Robustness Verification for Transformers. ICLR (2020)
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh
Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations. CoRR (2020)
Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. ICLR (2020)
Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
On Lp-norm Robustness of Ensemble Decision Stumps and Trees. ICML (2020)
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
Spanning attack: reinforce black-box attacks with unlabeled data. Mach. Learn. 109 (12) (2020)
Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
Automatic Perturbation Analysis on General Computational Graphs. CoRR (2020)
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data. CoRR (2020)
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR (2020)
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. AAAI (2019)
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. CoRR (2019)
Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
Adversarial Robustness vs. Model Compression, or Both? ICCV (2019)
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
Robustness Verification of Tree-based Models. NeurIPS (2019)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks. ICCV (2019)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks. CoRR (2019)
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. CoRR (2019)
Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
Second Rethinking of Network Pruning in the Adversarial Setting. CoRR (2019)
Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh
Robust Decision Trees Against Adversarial Examples. CoRR (2019)
Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh
Robust Decision Trees Against Adversarial Examples. ICML (2019)
Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
The Limitations of Adversarial Training and the Blind-Spot Attack. CoRR (2019)
Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
The Limitations of Adversarial Training and the Blind-Spot Attack. ICLR (Poster) (2019)
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. AAAI (2019)
Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. ICLR (Poster) (2019)
Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) (2019)
Huan Zhang, Minhao Cheng, Cho-Jui Hsieh
Enhancing Certifiable Robustness via a Deep Model Ensemble. CoRR (2019)
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava
GenAttack: practical black-box attacks with gradient-free optimization. GECCO (2019)
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
Robustness Verification of Tree-based Models. CoRR (2019)
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. NeurIPS (2019)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurelie C. Lozano, Cho-Jui Hsieh, Luca Daniel
On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm. GlobalSIP (2018)
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. CoRR (2018)
Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. CoRR (2018)
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane S. Boning, Inderjit S. Dhillon, Luca Daniel
Towards Fast Computation of Certified Robustness for ReLU Networks. CoRR (2018)
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
Efficient Neural Network Robustness Certification with General Activation Functions. NeurIPS (2018)
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. CoRR (2018)
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. AAAI (2018)
Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR (2018)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. ICLR (Poster) (2018)
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
Efficient Neural Network Robustness Certification with General Activation Functions. CoRR (2018)
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning. ACL (1) (2018)
Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh
Towards Robust Neural Networks via Random Self-ensemble. ECCV (7) (2018)
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. ECCV (12) (2018)
Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, Cho-Jui Hsieh
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. CoRR (2018)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. CoRR (2018)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurelie C. Lozano, Cho-Jui Hsieh, Luca Daniel
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm. CoRR (2018)
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon
Towards Fast Computation of Certified Robustness for ReLU Networks. ICML (2018)
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks. CoRR (2018)
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning. CoRR (2017)
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. CoRR (2017)
Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh
Towards Robust Neural Networks via Random Self-ensemble. CoRR (2017)
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. CoRR (2017)
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models. CoRR (2017)
Huan Zhang, Si Si, Cho-Jui Hsieh
GPU-acceleration for Large-scale Tree Boosting. CoRR (2017)
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh
ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models. AISec@CCS (2017)
Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh
Gradient Boosted Decision Trees for High Dimensional Sparse Output. ICML (2017)
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. NIPS (2017)
Huan Zhang, Cho-Jui Hsieh, Venkatesh Akella
HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent. ICDM (2016)
Huan Zhang, Cho-Jui Hsieh
Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent. ICDM (2016)
Xiangru Lian, Huan Zhang, Cho-Jui Hsieh, Yijun Huang, Ji Liu
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order. NIPS (2016)
Zhao Song, David P. Woodruff, Huan Zhang
Sublinear Time Orthogonal Tensor Decomposition. NIPS (2016)