Shengwei An is a Ph.D. candidate in the Department of Computer Science at Purdue University, advised by Prof. Xiangyu Zhang. His research focuses on AI security and privacy, with an emphasis on designing state-of-the-art tools to investigate and mitigate privacy vulnerabilities in real-world AI systems. His work has been published in top-tier conferences, including S&P, USENIX Security, NDSS, and AAAI. He is the recipient of the Ross Fellowship from Purdue University and the Best Paper Award in the ECCV 2022 AROW Workshop.
UMBC Center for AI