PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees
Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
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FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Wenda Chu*, Chulin Xie*, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li
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Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li
Short Version at Federated Learning Workshop, NeurIPS 2022
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Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions
Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li
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CoPur: Certifiably Robust Collaborative Inference via Feature Purification
Jing Liu, Chulin Xie, Oluwasanmi O Koyejo, Bo Li
NeurIPS 2022
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Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song,
Aleksander Madry, Bo Li, Tom Goldstein
TPAMI 2022
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Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks
Chulin Xie, Yunhui Long, Pin-Yu Chen, Bo Li
Short Version at Federated Learning Workshop, NeurIPS 2021
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CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
ICML 2021
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Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
Chulin Xie*, Chuxin Wang*, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
CVPR 2021
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DBA: Distributed Backdoor Attacks against Federated Learning
Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li
ICLR 2020
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