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Local Critic Training for Model-Parallel Learning of Deep Neural Networks


Feb 03, 2021
Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee

* IEEE Transactions on Neural Networks and Learning Systems (2021) 

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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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Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks


Jan 18, 2021
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee

* Neural Networks, vol. 132, pp. 96-107, Dec. 2020 

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Robust Text CAPTCHAs Using Adversarial Examples


Jan 07, 2021
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh


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Self-Progressing Robust Training


Dec 22, 2020
Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das

* Accepted in AAAI2021 

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Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search


Dec 14, 2020
Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh

* Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 

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Voting based ensemble improves robustness of defensive models


Nov 28, 2020
Devvrit, Minhao Cheng, Cho-Jui Hsieh, Inderjit Dhillon


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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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Generating universal language adversarial examples by understanding and enhancing the transferability across neural models


Nov 18, 2020
Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-wei Chang, Xuanjing Huang


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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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How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers


Oct 19, 2020
Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh


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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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Improving the Speed and Quality of GAN by Adversarial Training


Aug 07, 2020
Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh


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Multi-Stage Influence Function


Jul 17, 2020
Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane Boning, Cho-Jui Hsieh


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Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble


Jun 20, 2020
Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-wei Chang, Xuanjing Huang


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DrNAS: Dirichlet Neural Architecture Search


Jun 19, 2020
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh


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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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Provably Robust Metric Learning


Jun 12, 2020
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh


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An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling


Jun 07, 2020
Qin Ding, Cho-Jui Hsieh, James Sharpnack


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Evaluations and Methods for Explanation through Robustness Analysis


May 31, 2020
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, 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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Improved Adversarial Training via Learned Optimizer


Apr 25, 2020
Yuanhao Xiong, Cho-Jui Hsieh


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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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Learning to Encode Position for Transformer with Continuous Dynamical Model


Mar 13, 2020
Xuanqing Liu, Hsiang-Fu Yu, Inderjit Dhillon, Cho-Jui Hsieh

* Code to be released in https://github.com/xuanqing94/FLOATER 

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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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CAT: Customized Adversarial Training for Improved Robustness


Feb 17, 2020
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit Dhillon, 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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Multiscale Non-stationary Stochastic Bandits


Feb 13, 2020
Qin Ding, Cho-Jui Hsieh, James Sharpnack


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