Chulin Xie

Hi! I am a third-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.


[11/2022] I am delighted to join the super volunteers at WiML 2022!
[10/2022] I am honored to receive the travel grant from IEEE Conference on Secure and Trustworthy Machine Learning.
[05/2022] I started my summer internship at AI Algorithm team @ NVIDIA Research, working with great mentors Anima Anandkumar, Chaowei Xiao, and De-An Huang.

Publications and Preprints

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

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

CoPur: Certifiably Robust Collaborative Inference via Feature Purification
Jing Liu, Chulin Xie, Oluwasanmi O Koyejo, Bo Li
NeurIPS 2022

UniFed: A Benchmark for Federated Learning Frameworks
Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song

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

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions
Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li

Uncovering the Connection Between Differential Privacy and Certi๏ฌed Robustness of Federated Learning against Poisoning Attacks
Chulin Xie, Yunhui Long, Pin-Yu Chen, Bo Li
Short Version at Federated Learning Workshop, NeurIPS 2021

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
ICML 2021

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

DBA: Distributed Backdoor Attacks against Federated Learning
Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li
ICLR 2020

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: Nov, 2022