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Training Meta-Surrogate Model for Transferable Adversarial Attack


Sep 07, 2021
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh

* 15 pages, 7 figures 

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Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution


Aug 29, 2021
Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh

* Accepted by EMNLP2021 main conference 

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RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving


Aug 18, 2021
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

* To Appear in ICCV2021. The code will be released shortly at https://github.com/ruocwang 

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RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection


Aug 17, 2021
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou

* Accepted to ICCV 2021 

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Rethinking Architecture Selection in Differentiable NAS


Aug 10, 2021
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh

* Outstanding Paper Award at ICLR 2021. The code is available at https://github.com/ruocwang/darts-pt 

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Label Disentanglement in Partition-based Extreme Multilabel Classification


Jun 24, 2021
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon


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Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding


Jun 23, 2021
Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio


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Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms


Jun 05, 2021
Qin Ding, Yi-Wei Liu, Cho-Jui Hsieh, James Sharpnack


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Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks


Jun 05, 2021
Qin Ding, Cho-Jui Hsieh, James Sharpnack


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Learnable Fourier Features for Multi-DimensionalSpatial Positional Encoding


Jun 05, 2021
Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio


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DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification


Jun 03, 2021
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh

* Project page: https://dynamicvit.ivg-research.xyz/ 

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When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations


Jun 03, 2021
Xiangning Chen, Cho-Jui Hsieh, Boqing Gong


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Concurrent Adversarial Learning for Large-Batch Training


Jun 01, 2021
Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You


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Detecting Adversarial Examples with Bayesian Neural Network


May 28, 2021
Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee


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Balancing Robustness and Sensitivity using Feature Contrastive Learning


May 19, 2021
Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar

* 31 pages, 5 figures, 3 tables 

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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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2.5D Visual Relationship Detection


Apr 26, 2021
Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong


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On the Faithfulness Measurements for Model Interpretations


Apr 18, 2021
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang


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Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation


Apr 12, 2021
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh

* NAACL 2021 

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Fast Certified Robust Training via Better Initialization and Shorter Warmup


Apr 01, 2021
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh


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On the Adversarial Robustness of Visual Transformers


Mar 29, 2021
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh


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Robust and Accurate Object Detection via Adversarial Learning


Mar 26, 2021
Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

* CVPR 2021. Models are available at https://github.com/google/automl/tree/master/efficientdet/Det-AdvProp.md 

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Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification


Mar 11, 2021
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

* Shiqi Wang, Huan Zhang and Kaidi Xu contributed equally 

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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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