Zhouxing Shi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Efficiently Computing

Top Venues

Publications

Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh
Defending LLMs against Jailbreaking Attacks via Backtranslation. ACL (Findings) (2024)
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)
Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh
Red Teaming Language Model Detectors with Language Models. Trans. Assoc. Comput. Linguistics 12 (2024)
Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh
Defending LLMs against Jailbreaking Attacks via Backtranslation. CoRR (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)
Yuhang Li, Yihan Wang, Zhouxing Shi, Cho-Jui Hsieh
Improving the Generation Quality of Watermarked Large Language Models via Word Importance Scoring. CoRR (2023)
Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh
Red Teaming Language Model Detectors with Language Models. CoRR (2023)
Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia
Towards Robustness Certification Against Universal Perturbations. ICLR (2023)
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. CoRR (2023)
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. NeurIPS (2023)
Yihan Wang, Zhouxing Shi, Quanquan Gu, Cho-Jui Hsieh
On the Convergence of Certified Robust Training with Interval Bound Propagation. CoRR (2022)
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
Robust Text CAPTCHAs Using Adversarial Examples. Big Data (2022)
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang
On the Sensitivity and Stability of Model Interpretations in NLP. ACL (1) (2022)
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
On the Adversarial Robustness of Vision Transformers. Trans. Mach. Learn. Res. 2022 (2022)
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. CoRR (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)
Yihan Wang, Zhouxing Shi, Quanquan Gu, Cho-Jui Hsieh
On the Convergence of Certified Robust Training with Interval Bound Propagation. ICLR (2022)
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang
On the Faithfulness Measurements for Model Interpretations. CoRR (2021)
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
Fast Certified Robust Training with Short Warmup. NeurIPS (2021)
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
Fast Certified Robust Training via Better Initialization and Shorter Warmup. CoRR (2021)
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
On the Adversarial Robustness of Visual Transformers. CoRR (2021)
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
Robust Text CAPTCHAs Using Adversarial Examples. CoRR (2021)
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh
Robustness Verification for Transformers. CoRR (2020)
Zhouxing Shi, Minlie Huang
Robustness to Modification with Shared Words in Paraphrase Identification. EMNLP (Findings) (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)
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)
Mantong Zhou, Zhouxing Shi, Minlie Huang, Xiaoyan Zhu
Knowledge-Aided Open-Domain Question Answering. CoRR (2020)
Zhouxing Shi, Minlie Huang
Robustness to Modification with Shared Words in Paraphrase Identification. CoRR (2019)
Zhouxing Shi, Minlie Huang
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. AAAI (2019)
Zhouxing Shi, Minlie Huang
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. CoRR (2018)