Chulin Xie |
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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. |
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[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. |
| 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๏ฌed 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