Kyle Domico

Kyle Domico

PhD Student and Research Assistant

University of Wisconsin-Madison

Biography

I am a PhD Student in the School of Computer, Data, and Information Sciences at the University of Wisconsin-Madison. I am a research assistant in the MadS&P computer security group and advised by Dr. Patrick McDaniel. My research interests lie at the intersection of computer security and reinforcement learning. In current work, I’m evaluating the efficacy of adversaries using model-free reinforcement learning algorithms to attack machine learning systems.

Address: 1210 W. Dayton St., Room 2263, Madison, WI 53706, USA
Email: domico@cs.wisc.edu

Interests
  • Reinforcement Learning
  • Computer Security
  • Adversarial Machine Learning
Education
  • Ph.D. in Computer Sciences, 2028

    University of Wisconsin-Madison

  • B.S. in Computer Sciences, 2023

    Pennsylvania State University

Publications

(2023). The Efficacy of Transformer-Based Adversarial Attacks in Security Domains. In Workshop on Artificial Intelligence for Cyber (MILCOM 2023). Nov. 2023.

PDF arXiv

(2022). A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting. In 2nd Machine Learning in Heliophysics Conference (ML-HELIO 2022). Mar. 2022.

PDF arXiv

(2022). EIPSIM: Modeling Secure IP Address Allocation at Cloud Scale. ArXiv Preprint. Oct. 2022.

PDF arXiv

Accomplishments

Career Highlights