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. I was an intern at Visual Computing Group of Microsoft Research Asia. My current research interests include machine learning, adversarial robustness, privacy, fairness, federated learning, representation learning and distributed optimization. |
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| [05/2022] I start my summer internship at AI Algorithm team @ NVIDIA Research, hosted by Prof. Anima Anandkumar and Dr. Chaowei Xiao. |
| Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li In submission [PDF] |
| 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 [PDF] |
| 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 [Paper] |
| 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 for Federated Learning One World Seminar (FLOW)] |
| 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: May, 2022