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Zhouxing Shi
Zhouxing Shi
University of California, Los Angeles
Verified email at cs.ucla.edu - Homepage
Title
Cited by
Cited by
Year
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
1882020
On the Adversarial Robustness of Vision Transformers
R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh
TMLR, 2022
142*2022
Robustness Verification for Transformers
Z Shi, H Zhang, KW Chang, M Huang, CJ Hsieh
International Conference on Learning Representations, 2020
1032020
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
Z Shi, M Huang
Proceedings of the AAAI Conference on Artificial Intelligence, 2019
772019
Fast Certified Robust Training with Short Warmup
Z Shi*, Y Wang*, H Zhang, J Yi, CJ Hsieh
Advances in Neural Information Processing Systems, 2021
43*2021
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
23*2022
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
182020
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
142022
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
132022
Red Teaming Language Model Detectors with Language Models
Z Shi*, Y Wang*, F Yin*, X Chen, KW Chang, CJ Hsieh
arXiv preprint arXiv:2305.19713, 2023
122023
Knowledge-Aided Open-Domain Question Answering
M Zhou, Z Shi, M Huang, X Zhu
arXiv preprint arXiv:2006.05244, 2020
112020
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
72022
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
arXiv preprint arXiv:2302.01381, 2023
32023
Towards robustness certification against universal perturbations
Y Zeng*, Z Shi*, M Jin, F Kang, L Lyu, CJ Hsieh, R Jia
The Eleventh International Conference on Learning Representations, 2023
32023
Formal Verification for Neural Networks with General Nonlinearities via Branch-and-Bound
Z Shi, Q Jin, H Zhang, Z Kolter, S Jana, CJ Hsieh
12023
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
2023
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