Kunyang Li
Computer Science
I am a Ph.D. student in the Department of Computer Sciences at the University of Wisconsin-Madison. I am advised by Prof. Patrick McDaniel and am a member of MadS&P research group. I have received my B.S. degree in Computer Science (Honors, advised by Adwait Nadkarni) and Mathematics from William & Mary.
My research mainly focuses on designing trustworthy Machine Learning models -- evaluating and improving their robustness, explainability, and fairness. I am interested in the attack and defense mechanisms of adversarial machine learning from both architectural and training perspectives. Overall, I want to explore different angles of trustworthy AI and their broad applications in security and privacy.
In my free times, I love playing table tennis, biking, hiking, and snowboarding. Immersing myself in nature makes me feel incredibly refreshed and empowered!
Publications
The Efficacy of Transformer-based Adversarial Attacks in Security Domains
Kunyang Li, Kyle Domico, Jean-Charles Noirot Ferrand, Patrick McDaniel
Proceedings of the IEEE Conference on Military Communications (MILCOM) - AI for Cyber Workshop, 2023
The Trade-off between Label Efficiency and Universality of Representations from Contrastive Learning
Zhenmei Shi*, Jiefeng Chen*, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
International Conference on Learning Representations (ICLR), 2023 Spotlight (Acceptance Rate: 7.95%)
Static and Dynamic Analysis in Cryptographic-API Misuse Detection of Mobile Application
Kunyang Li
Undergraduate Honors Thesis
Professional Activities
Reviewing
USENIX Security Symposium 2023, External Reviewer
Conference on Learning Representations (ICLR) 2023, Tiny Papers Track, Emergency Reviewer
Outreach & Volunteering
Expand Your Horizons Madison - 2023, Volunteer