| Backdoor attacks on pre-trained models by layerwise weight poisoning L Li, D Song, X Li, J Zeng, R Ma, X Qiu arXiv preprint arXiv:2108.13888, 2021 | 84 | 2021 |
| Searching for an effective defender: Benchmarking defense against adversarial word substitution Z Li, J Xu, J Zeng, L Li, X Zheng, Q Zhang, KW Chang, CJ Hsieh arXiv preprint arXiv:2108.12777, 2021 | 57 | 2021 |
| Certified robustness to text adversarial attacks by randomized [mask] J Zeng, J Xu, X Zheng, X Huang Computational Linguistics 49 (2), 395-427, 2023 | 46 | 2023 |
| Evaluating and enhancing the robustness of neural network-based dependency parsing models with adversarial examples X Zheng, J Zeng, Y Zhou, CJ Hsieh, M Cheng, XJ Huang Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 39 | 2020 |
| Learning structured embeddings of knowledge graphs with generative adversarial framework L Liu, J Zeng, X Zheng Expert Systems with Applications 204, 117361, 2022 | 4 | 2022 |
| Rebuild and ensemble: Exploring defense against text adversaries [J]. arXiv preprint arXiv: 220314207 L Li, D Song, J Zeng, R Ma, X Qiu | 2 | 2022 |
| SparseGAN: Sparse generative adversarial network for text generation L Yuan, J Zeng, X Zheng arXiv preprint arXiv:2103.11578, 2021 | 1 | 2021 |
| Learning structured embeddings of knowledge graphs with adversarial learning framework J Zeng, L Liu, X Zheng arXiv preprint arXiv:2004.07265, 2020 | 1 | 2020 |
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
