| Adversarial unlearning of backdoors via implicit hypergradient Y Zeng, S Chen, W Park, ZM Mao, M Jin, R Jia International Conference on Learning Representations. 2021, 2021 | 123 | 2021 |
| Knowledge-enriched distributional model inversion attacks S Chen, M Kahla, R Jia, GJ Qi Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 90* | 2021 |
| Label-only model inversion attacks via boundary repulsion M Kahla, S Chen, HA Just, R Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 43 | 2022 |
| Just Fine-tune Twice: Selective Differential Privacy for Large Language Models W Shi, S Chen, C Zhang, R Jia, Z Yu The 2022 Conference on Empirical Methods in Natural Language Processing, 2022 | 23 | 2022 |
| One-round active learning T Wang, S Chen, R Jia arXiv preprint arXiv:2104.11843, 2021 | 9 | 2021 |
| Zero-round active learning S Chen, T Wang, R Jia arXiv preprint arXiv:2107.06703, 2021 | 3 | 2021 |
| ModelPred: A Framework for Predicting Trained Model from Training Data Y Zeng, JT Wang, S Chen, HA Just, R Jin, R Jia 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 432-449, 2023 | 2 | 2023 |
| Learning to Refit for Convex Learning Problems. Y Zeng, T Wang, S Chen, HA Just, R Jin, R Jia arXiv preprint arXiv:2111.12545, 2021 | 1 | 2021 |
| FASTTRACK: Fast and Accurate Fact Tracing for LLMs S Chen, F Kang, N Yu, R Jia arXiv preprint arXiv:2404.15157, 2024 | | 2024 |
| Learning to Rank for Active Learning via Multi-Task Bilevel Optimization Z Ding, S Chen, R Jia, Y Chen arXiv preprint arXiv:2310.17044, 2023 | | 2023 |
| Turning a Curse Into a Blessing: Enabling Clean-Data-Free Defenses by Model Inversion RJ Si Chen, Yi Zeng, Jiachen T.Wang, Won Park, Xun Chen, Lingjuan Lyu ... arXiv preprint arXiv:2206.07018v3, 2023 | | 2023 |
Ruoxi JiaAssistant Professor, Virginia Tech在 vt.edu 的电子邮件经过验证
