Education
Ph.D. Computer Science & Engineering, University of Michigan, Ann Arbor.
B.S. School of Software, Tsinghua University
Research Interests
Research fields – Trustworthy Machine Learning, Security
Areas of interest – Machine Learning, Security, Computer Vision, Natural language processing
Classes Taught
LIS 640 Applied Deep Learning
Recent Publications
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao. ICML 2023
DensePure: Understanding Diffusion Models towards Adversarial Robustness. Chaowei Xiao*, Zhongzhu Chen*, Kun Jin*, Jiongxiao Wang*, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song. ICLR 2023.
Diffusion Models for Adversarial Purification. Weili Nie, Brandon Guo, Yujia Huang,Chaowei Xiao, Arash Vahdat, Anima Anandkumar. ICML 2022
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. Yulong Cao*, Ningfei Wang*,Chaowei Xiao*, Dawei Yang*, Jin Fang, RuigangYang, Qi Alfred Chen, Mingyan Liu, Bo Li. IEEE Symposium on Security and Privacy (Oakland) 2021