A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. - Zhouxing Shi; Minlie Huang (AAAI, 2019)

Robustness to Modification with Shared Words in Paraphrase Identification. - Zhouxing Shi; Minlie Huang (EMNLP (Findings), 2020)

Robustness Verification for Transformers. - Zhouxing Shi; Huan Zhang 001; Kai-Wei Chang; Minlie Huang; Cho-Jui Hsieh (ICLR, 2020)

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. - Kaidi Xu; Zhouxing Shi; Huan Zhang 001; Yihan Wang; Kai-Wei Chang; Minlie Huang; Bhavya Kailkhura; Xue Lin 001; Cho-Jui Hsieh (NeurIPS, 2020)

Automatic Perturbation Analysis on General Computational Graphs. - Kaidi Xu; Zhouxing Shi; Huan Zhang 001; Minlie Huang; Kai-Wei Chang; Bhavya Kailkhura; Xue Lin 001; Cho-Jui Hsieh (CoRR, 2020)

Knowledge-Aided Open-Domain Question Answering. - Mantong Zhou; Zhouxing Shi; Minlie Huang; Xiaoyan Zhu 001 (CoRR, 2020)

Fast Certified Robust Training with Short Warmup. - Zhouxing Shi; Yihan Wang; Huan Zhang 001; Jinfeng Yi; Cho-Jui Hsieh (NeurIPS, 2021)

On the Adversarial Robustness of Visual Transformers. - Rulin Shao; Zhouxing Shi; Jinfeng Yi; Pin-Yu Chen; Cho-Jui Hsieh (CoRR, 2021)

Fast Certified Robust Training via Better Initialization and Shorter Warmup. - Zhouxing Shi; Yihan Wang; Huan Zhang 001; Jinfeng Yi; Cho-Jui Hsieh (CoRR, 2021)

On the Faithfulness Measurements for Model Interpretations. - Fan Yin; Zhouxing Shi; Cho-Jui Hsieh; Kai-Wei Chang (CoRR, 2021)

On the Sensitivity and Stability of Model Interpretations in NLP. - Fan Yin; Zhouxing Shi; Cho-Jui Hsieh; Kai-Wei Chang (ACL (1), 2022)

Robust Text CAPTCHAs Using Adversarial Examples. - Rulin Shao; Zhouxing Shi; Jinfeng Yi; Pin-Yu Chen; Cho-Jui Hsieh (IEEE Big Data, 2022)

On the Convergence of Certified Robust Training with Interval Bound Propagation. - Yihan Wang; Zhouxing Shi; Quanquan Gu; Cho-Jui Hsieh (ICLR, 2022)

Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. - Zhouxing Shi; Yihan Wang; Huan Zhang 001; J. Zico Kolter; Cho-Jui Hsieh (NeurIPS, 2022)

On the Adversarial Robustness of Vision Transformers. - Rulin Shao; Zhouxing Shi; Jinfeng Yi; Pin-Yu Chen; Cho-Jui Hsieh (Trans. Mach. Learn. Res., 2022)

Towards Robustness Certification Against Universal Perturbations. - Yi Zeng 005; Zhouxing Shi; Ming Jin 002; Feiyang Kang; Lingjuan Lyu; Cho-Jui Hsieh; Ruoxi Jia 001 (ICLR, 2023)

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. - Zhouxing Shi; Nicholas Carlini; Ananth Balashankar; Ludwig Schmidt; Cho-Jui Hsieh; Alex Beutel; Yao Qin 001 (NeurIPS, 2023)

Improving the Generation Quality of Watermarked Large Language Models via Word Importance Scoring. - Yuhang Li; Yihan Wang; Zhouxing Shi; Cho-Jui Hsieh (CoRR, 2023)

Defending LLMs against Jailbreaking Attacks via Backtranslation. - Yihan Wang; Zhouxing Shi; Andrew Bai; Cho-Jui Hsieh (ACL (Findings), 2024)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation. - Lujie Yang; Hongkai Dai; Zhouxing Shi; Cho-Jui Hsieh; Russ Tedrake; Huan Zhang 001 (ICML, 2024)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification. - Lujie Yang; Hongkai Dai; Zhouxing Shi; Cho-Jui Hsieh; Russ Tedrake; Huan Zhang 001 (CoRR, 2024)

Certified Training with Branch-and-Bound: A Case Study on Lyapunov-stable Neural Control. - Zhouxing Shi; Cho-Jui Hsieh; Huan Zhang 001 (CoRR, 2024)

Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamples. - Xingjian Zhou; Hongji Xu; Andy Xu; Zhouxing Shi; Cho-Jui Hsieh; Huan Zhang 001 (CoRR, 2024)

Red Teaming Language Model Detectors with Language Models. - Zhouxing Shi; Yihan Wang; Fan Yin; Xiangning Chen; Kai-Wei Chang; Cho-Jui Hsieh (Trans. Assoc. Comput. Linguistics, 2024)

Neural Network Verification with Branch-and-Bound for General Nonlinearities. - Zhouxing Shi; Qirui Jin; Zico Kolter; Suman Jana; Cho-Jui Hsieh; Huan Zhang 001 (TACAS (1), 2025)