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Zhouxing Shi
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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, 2020
2532020
On the Adversarial Robustness of Vision Transformers
R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh
TMLR, 2022
2002022
Robustness Verification for Transformers
Z Shi, H Zhang, KW Chang, M Huang, CJ Hsieh
International Conference on Learning Representations, 2020
1232020
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
Z Shi, M Huang
Proceedings of the AAAI Conference on Artificial Intelligence, 2019
892019
Fast Certified Robust Training with Short Warmup
Z Shi*, Y Wang*, H Zhang, J Yi, CJ Hsieh
Advances in Neural Information Processing Systems, 2021
602021
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 12, 174-189, 2024
382024
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
32*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
302022
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
192020
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
182022
Knowledge-Aided Open-Domain Question Answering
M Zhou, Z Shi, M Huang, X Zhu
arXiv preprint arXiv:2006.05244, 2020
152020
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, 2024
9*2024
On the Convergence of Certified Robust Training with Interval Bound Propagation
Y Wang*, Z Shi*, Q Gu, CJ Hsieh
International Conference on Learning Representations, 2022
92022
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, 2023
82023
Defending LLMs against Jailbreaking Attacks via Backtranslation
Y Wang, Z Shi, A Bai, CJ Hsieh
arXiv preprint arXiv:2402.16459, 2024
62024
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, 2024
62024
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
22023
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
1*2024
Learning Contextual Perturbation Budgets for Training Robust Neural Networks
J Xu, Z Shi, H Zhang, J Yi, CJ Hsieh, L Wang
2020
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Articles 1–19