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Chulin Xie
Chulin Xie
在 illinois.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Dba: Distributed backdoor attacks against federated learning
C Xie, K Huang, PY Chen, B Li
International conference on learning representations (ICLR 2020), 2020
5782020
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
252*2022
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
C Xie, M Chen, PY Chen, B Li
International Conference on Machine Learning (ICML 2021), 2021
1382021
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
992023
Attack-resistant federated learning with residual-based reweighting
S Fu, C Xie, B Li, Q Chen
arXiv preprint arXiv:1912.11464, 2019
862019
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
792021
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
202022
Improving privacy-preserving vertical federated learning by efficient communication with admm
C Xie, PY Chen, C Zhang, B Li
arXiv preprint arXiv:2207.10226, 2022
82022
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
72024
Rvfr: Robust vertical federated learning via feature subspace recovery
J Liu, C Xie, K Kenthapadi, OO Koyejo, B Li
72021
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
52024
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs
S Han, B Buyukates, Z Hu, H Jin, W Jin, L Sun, X Wang, W Wu, C Xie, ...
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
52022
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
42022
Data quality transaction on different distributed ledger technologies
C Wu, L Zhou, C Xie, Y Zheng, J Yu
Big Scientific Data Management: First International Conference, BigSDM 2018 …, 2019
42019
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
3*2023
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, ...
NeurIPS Workshop on Socially Responsible Language Modelling Research, 2023
22023
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions
C Xie, Z Cao, Y Long, D Yang, D Zhao, B Li
arXiv preprint arXiv:2209.04022, 2022
12022
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, ...
arXiv preprint arXiv:2403.15447, 2024
2024
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