Published paper 'Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning' (Under Review, 2025); Published paper 'Secure IP Address Allocation at Cloud Scale' (NDSS 2025); Invited talks and presentations at various academic conferences such as Midwest Machine Learning Symposium 2025; Reviewer for multiple international conferences including AAAI, ICLR, etc.
Research Experience
Research Assistant in the Security and Privacy Research Group; Course Design & Guest Lecturer for CS 642 - Introduction to Information Security (Fall 2024).
Education
Ph.D. student in the School of Computer, Data, and Information Sciences at the University of Wisconsin-Madison, advised by Prof. Patrick McDaniel.
Background
Research Interests: Security of machine learning systems, adversarial machine learning, and reinforcement learning. His dissertation focuses on building robust systems with adversarial reinforcement learning agents.
Miscellany
Mentor for NSF Research Experiences for Undergraduates (REU); Poster Presenter and Open Lab Volunteer for UW-Madison CS Welcome Weekend 2025.