Chulin Xie

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.


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

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

Selected Publications

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



Last update: Oct, 2021