| Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond K Xu*, Z Shi*, H Zhang*, Y Wang, KW Chang, M Huang, B Kailkhura, ... Advances in Neural Information Processing Systems (*equal contribution), 2020 | 301 | 2020 |
| On the Adversarial Robustness of Vision Transformers R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh TMLR, 2022 | 234 | 2022 |
| Robustness Verification for Transformers Z Shi, H Zhang, KW Chang, M Huang, CJ Hsieh International Conference on Learning Representations, 2020 | 133 | 2020 |
| A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues Z Shi, M Huang Proceedings of the AAAI Conference on Artificial Intelligence, 2019 | 102 | 2019 |
| Fast Certified Robust Training with Short Warmup Z Shi*, Y Wang*, H Zhang, J Yi, CJ Hsieh Advances in Neural Information Processing Systems (*equal contribution), 2021 | 74 | 2021 |
| Red teaming language model detectors with language models Z Shi*, Y Wang*, F Yin*, X Chen, KW Chang, CJ Hsieh Transactions of the Association for Computational Linguistics (*equal …, 2024 | 62 | 2024 |
| On the Sensitivity and Stability of Model Interpretations in NLP F Yin, Z Shi, CJ Hsieh, KW Chang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 40* | 2022 |
| Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation Z Shi, Y Wang, H Zhang, Z Kolter, CJ Hsieh Advances in Neural Information Processing Systems, 2022 | 39 | 2022 |
| Neural Network Verification with Branch-and-Bound for General Nonlinearities Z Shi*, Q Jin*, Z Kolter, S Jana, CJ Hsieh, H Zhang arXiv preprint arXiv:2405.21063 (*equal contribution), 2024 | 24* | 2024 |
| Robustness to Modification with Shared Words in Paraphrase Identification Z Shi, M Huang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 23 | 2020 |
| Robust text captchas using adversarial examples R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh 2022 IEEE International Conference on Big Data (Big Data), 1495-1504, 2022 | 22 | 2022 |
| Defending LLMs against Jailbreaking Attacks via Backtranslation Y Wang*, Z Shi*, A Bai, CJ Hsieh arXiv preprint arXiv:2402.16459 (*equal contribution), 2024 | 20 | 2024 |
| Knowledge-Aided Open-Domain Question Answering M Zhou, Z Shi, M Huang, X Zhu arXiv preprint arXiv:2006.05244, 2020 | 18 | 2020 |
| Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation L Yang, H Dai, Z Shi, CJ Hsieh, R Tedrake, H Zhang Forty-first International Conference on Machine Learning, 2024 | 12* | 2024 |
| Effective robustness against natural distribution shifts for models with different training data Z Shi, N Carlini, A Balashankar, L Schmidt, CJ Hsieh, A Beutel, Y Qin Advances in Neural Information Processing Systems 36, 73543-73558, 2023 | 10 | 2023 |
| Towards robustness certification against universal perturbations Y Zeng*, Z Shi*, M Jin, F Kang, L Lyu, CJ Hsieh, R Jia International Conference on Learning Representation (*equal contribution), 2023 | 10 | 2023 |
| On the Convergence of Certified Robust Training with Interval Bound Propagation Y Wang*, Z Shi*, Q Gu, CJ Hsieh International Conference on Learning Representations (*equal contribution), 2022 | 10 | 2022 |
| Improving the Generation Quality of Watermarked Large Language Models via Word Importance Scoring Y Li, Y Wang, Z Shi, CJ Hsieh arXiv preprint arXiv:2311.09668, 2023 | 3 | 2023 |
| Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamples X Zhou, H Xu, A Xu, Z Shi, CJ Hsieh, H Zhang arXiv preprint arXiv:2412.03154, 2024 | 1 | 2024 |
| Certified Training with Branch-and-Bound: A Case Study on Lyapunov-stable Neural Control Z Shi, CJ Hsieh, H Zhang arXiv preprint arXiv:2411.18235, 2024 | 1 | 2024 |
Cho-Jui HsiehUniversity of California, Los Angeles在 cs.ucla.edu 的電子郵件地址已通過驗證
