Kyle Domico

Ph.D. Student, University of Wisconsin–Madison

domico@cs.wisc.edu 1205 University Avenue, Room 4576, Madison, WI 53706

I am a PhD student in the Computer Sciences Department at the University of Wisconsin–Madison and a research assistant in the Security & Privacy Research Group, advised by Prof. Patrick McDaniel. My research interests are in the security of AI and AI for security. I am particularly interested in new methods for improving adversarial AI agents at finding vulnerabilities and building robust systems. My recent research has focused on developing fast and effective attacks on machine learning models through policies generated by reinforcement learning.

News

[Apr 2026] Successfully passed my qualifying exam!
[Apr 2026] Our paper “Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning” was accepted to the Findings of CVPR ’26.
[Feb 2026] Took on the Lead Graduate Student role in the MadS&P McDaniel group.
[Nov 2025] Serving on the IEEE S&P ’26 Artifact Evaluation Committee.
[Nov 2025] Serving on the PETS ’26 Artifact Evaluation Committee.
[Sep 2025] Serving as a reviewer on the AAAI ’26 Program Committee.
[Jun 2025] Presented a poster on reinforcement learning for adversarial attacks at MMLS ’25.
[Feb 2025] Our paper “Secure IP Address Allocation at Cloud Scale” was accepted to NDSS ’25.

Selected Publications

The Role of Learning in Attacking Intrusion Detection Systems
Kyle Domico, Jean-Charles Noirot Ferrand, Patrick McDaniel
Under Review, 2026

PDF Cite

@misc{domico2026rolelearningattackingintrusion,
 archiveprefix = {arXiv},
 author = {Kyle Domico and Jean-Charles Noirot Ferrand and Patrick McDaniel},
 booktitle = {Under Review},
 eprint = {2602.10299},
 primaryclass = {cs.CR},
 title = {The Role of Learning in Attacking Intrusion Detection Systems},
 url = {https://arxiv.org/abs/2602.10299},
 year = {2026}
}

Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
Kyle Domico, Jean-Charles Noirot Ferrand, Ryan Sheatsley, Eric Pauley, Josiah Hanna, Patrick McDaniel
Findings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

PDF Cite

@inproceedings{agents_cvpr26,
 address = {Denver, CO},
 title = {Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning},
 author = {Kyle Domico and Jean-Charles Noirot Ferrand and Ryan Sheatsley and Eric Pauley and Josiah Hanna and Patrick McDaniel},
 booktitle = {Findings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2026},
 month = jun,
 eprint = {2503.01734},
 archivePrefix = {arXiv},
 primaryClass = {cs.CR},
 url = {https://arxiv.org/abs/2503.01734},
}

Secure IP Address Allocation at Cloud Scale
Eric Pauley, Kyle Domico, Blaine Hoak, Ryan Sheatsley, Quinn Burke, Yohan Beugin, Engin Kirda, Patrick McDaniel
Network and Distributed Systems Security Symposium (NDSS), 2025

PDF Cite

@inproceedings{pauley_secure_2025,
 address = {San Diego, CA},
 author = {Eric Pauley and Kyle Domico and Blaine Hoak and Ryan Sheatsley and Quinn Burke and Yohan Beugin and Engin Kirda and Patrick McDaniel},
 booktitle = {2025 Network and Distributed Systems Security Symposium (NDSS)},
 month = {February},
 publisher = {Internet Society},
 title = {Secure {IP} {Address} {Allocation} at {Cloud} {Scale}},
 url = {https://arxiv.org/abs/2210.14999},
 year = {2025}
}