Zhouxing Shi
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, ...
NeurIPS 2020, 2020
On the Adversarial Robustness of Vision Transformers
R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh
arXiv preprint arXiv:2103.15670, 2021
Robustness Verification for Transformers
Z Shi, H Zhang, KW Chang, M Huang, CJ Hsieh
ICLR 2020, 2020
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
Z Shi, M Huang
AAAI 2019, 2019
Fast Certified Robust Training with Short Warmup
Z Shi*, Y Wang*, H Zhang, J Yi, CJ Hsieh
NeurIPS 2021, 2021
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
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
Knowledge-Aided Open-Domain Question Answering
M Zhou, Z Shi, M Huang, X Zhu
arXiv preprint arXiv:2006.05244, 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
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
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
Z Shi, Y Wang, H Zhang, Z Kolter, CJ Hsieh
NeurIPS 2022, 2022
Learning Contextual Perturbation Budgets for Training Robust Neural Networks
J Xu, Z Shi, H Zhang, J Yi, CJ Hsieh, L Wang
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