| Dba: Distributed backdoor attacks against federated learning C Xie, K Huang, PY Chen, B Li ICLR, 2020 | 655 | 2020 |
| Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses M Goldblum, D Tsipras, C Xie, X Chen, A Schwarzschild, D Song, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1563-1580, 2022 | 288* | 2022 |
| DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models B Wang, W Chen, H Pei, C Xie, M Kang, C Zhang, C Xu, Z Xiong, R Dutta, ... Advances in Neural Information Processing Systems (NeurIPS 2023 datasets …, 2023 | 190 | 2023 |
| CRFL: Certifiably Robust Federated Learning against Backdoor Attacks C Xie, M Chen, PY Chen, B Li ICML, 2021 | 161 | 2021 |
| Style-based point generator with adversarial rendering for point cloud completion C Xie, C Wang, B Zhang, H Yang, D Chen, F Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 85 | 2021 |
| Unifed: A benchmark for federated learning frameworks X Liu, T Shi, C Xie, Q Li, K Hu, H Kim, X Xu, B Li, D Song arXiv preprint arXiv:2207.10308, 2022 | 25 | 2022 |
| Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? YL Tsai, CY Hsu, C Xie, CH Lin, JY Chen, B Li, PY Chen, CM Yu, ... International Conference on Learning Representations (ICLR 2024), 2024 | 20 | 2024 |
| Improving privacy-preserving vertical federated learning by efficient communication with admm C Xie, PY Chen, Q Li, A Nourian, C Zhang, B Li 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 443-471, 2024 | 9 | 2024 |
| Perada: Parameter-efficient and generalizable federated learning personalization with guarantees C Xie, DA Huang, W Chu, D Xu, C Xiao, B Li, A Anandkumar IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024), 2024 | 8* | 2024 |
| Rvfr: Robust vertical federated learning via feature subspace recovery J Liu, C Xie, K Kenthapadi, S Koyejo, B Li NeurIPS Workshop New Frontiers in Federated Learning: Privacy, Fairness …, 2021 | 8 | 2021 |
| FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data W Chu, C Xie, B Wang, L Li, L Yin, H Zhao, B Li arXiv preprint arXiv:2207.10265, 2022 | 6 | 2022 |
| Unraveling the connections between privacy and certified robustness in federated learning against poisoning attacks C Xie, Y Long, PY Chen, Q Li, S Koyejo, B Li Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 5* | 2023 |
| CoPur: Certifiably Robust Collaborative Inference via Feature Purification J Liu, C Xie, OO Koyejo, B Li Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 5 | 2022 |
| Differentially private synthetic data via foundation model apis 2: Text C Xie, Z Lin, A Backurs, S Gopi, D Yu, HA Inan, H Nori, H Jiang, H Zhang, ... ICML 2024, 2024 | 3 | 2024 |
| Training Private and Efficient Language Models with Synthetic Data from LLMs D Yu, A Backurs, S Gopi, H Inan, J Kulkarni, Z Lin, C Xie, H Zhang, ... | 2 | 2023 |
| Effective and Efficient Federated Tree Learning on Hybrid Data Q Li, C Xie, X Xu, X Liu, C Zhang, B Li, B He, D Song International Conference on Learning Representations (ICLR 2024), 2024 | 1 | 2024 |
| FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning R Tamirisa, C Xie, W Bao, A Zhou, R Arel, A Shamsian IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024), 2024 | | 2024 |
| TablePuppet: A Generic Framework for Relational Federated Learning L Xu, C Xie, Y Guo, G Alonso, B Li, G Li, W Wang, W Wu, C Zhang arXiv preprint arXiv:2403.15839, 2024 | | 2024 |
| Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression J Hong, J Duan, C Zhang, Z Li, C Xie, K Lieberman, J Diffenderfer, ... ICML 2024, 2024 | | 2024 |
| Adversarial robustness in federated learning C Xie, X Wang Federated Learning, 91-104, 2024 | | 2024 |
