Hey! I'm Kunyang

Ph.D. Student @ Computer Science, University of Wisconsin-Madison

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 time, I love playing table tennis, biking, hiking, and snowboarding. Immersing myself in nature makes me feel incredibly refreshed and empowered!

Publications

On the Robustness Tradeoff in Fine-Tuning

Kunyang Li, Jean-Charles Noirot Ferrand, Ryan Sheatsley, Blaine Hoak, Yohan Beugin, Eric Pauley, Patrick McDaniel

Preprint, 2025

Alignment and Adversarial Robustness: Are More Human-Like Models More Secure?

Blaine Hoak*, Kunyang Li*, Patrick McDaniel

Preprint, 2025

On Adversarial and Common Robustness of Parameter-Efficient Fine-Tuning Strategies

Kunyang Li, Patrick McDaniel

Master Thesis, 2024

ParTEETor: A System for Partial Deployments of TEEs within Tor

Rachel King, Quinn Burke, Yohan Beugin, Blaine Hoak, Kunyang Li, Eric Pauley, Ryan Sheatsley, Patrick McDaniel

Workshop on Privacy in the Electronic Society (WPES), 2024

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, 2022

Professional Activities

Reviewer

International Conference on Learning Representations (ICLR) Tiny Paper Track 2024, Tiny Paper Track 2023

Artifact Reviewer

USENIX Security Symposium (USENIX Security) 2025

External Reviewer

IEEE Symposium on Security and Privacy (IEEE S&P) 2025

International Conference on Learning Representations (ICLR) 2025

ACM Conference on Computer and Communications Security (ACM CCS) 2024

USENIX Security Symposium (USENIX Security) 2023

Outreach & Volunteering

Expand Your Horizons Madison - 2023, Volunteer

  • Career exploration activities in science, engineering, and mathematics for girls, female-identifying or non-binary youth in middle school