Kyle Domico
Scholar

Kyle Domico

Google Scholar ID: X4UHBHkAAAAJ
Ph.D. Student, University of Wisconsin-Madison
Adversarial Machine LearningReinforcement Learning
Citations & Impact
All-time
Citations
8
 
H-index
2
 
i10-index
0
 
Publications
6
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • 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.