Chulin Xie |
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Hi! I am a second-year Ph.D. student in Computer Science at University of Illinois at Urbana-Champaign, advised by Prof. Bo Li. Before that, I received my Bachelor degree in the CS Department, Zhejiang University in July 2020. My current research interests include machine learning, adversarial robustness, privacy, fairness, federated learning, representation learning and distributed optimization. |
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| Certified Robustness for Free in Differentially Private Federated Learning Chulin Xie, Yunhui Long, Pin-Yu Chen, Krishnaram Kenthapadi, Bo Li NeurIPS 2021 New Frontiers in Federated Learning Workshop [PDF] |
| RVFR: Robust Vertical Federated Learning via Feature Subspace Recovery Jing Liu*, Chulin Xie*, Krishnaram Kenthapadi, Oluwasanmi O Koyejo, Bo Li NeurIPS 2021 New Frontiers in Federated Learning Workshop |
| 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 [arXiv] |
| CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li ICML 2021 [Paper] [Code] [Poster] |
| 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 [Paper] [Code] [Poster] [Project] |
| DBA: Distributed Backdoor Attacks against Federated Learning Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li ICLR 2020 [Paper] [Code] [Slides] |
| Attack-Resistant Federated Learning with Residual-based Reweighting Shuhao Fu, Chulin Xie, Bo Li, Qifeng Chen AAAI 2021 Towards Robust, Secure and Efficient Machine Learning Workshop [Paper] |
Last update: Oct, 2021