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. I am a trustworthy AI researcher. I am particularly interested in finding practical use-cases of AI in cybersecurity. My recent research has focused on training reinforcement learning (RL) agents to evade network intrusion detection systems in an effort to amortize the cost of performing adversarial robustness evaluation.

News

[Jun 2026] Presented our work at CVPR ’26 in Denver, CO.
[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.

Selected Publications

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

PDF Cite

@misc{domico2026rolelearningattackingmlbased,
 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 ML-based Network Intrusion Detection},
 url = {https://arxiv.org/abs/2602.10299},
 year = {2026}
}

Longitudinal Analyses of SAST Tools: A CodeQL Case Study
Jean-Charles Noirot Ferrand, Kyle Domico, Yohan Beugin, Patrick McDaniel
Under Review, 2026

PDF Cite

@misc{ferrand2026longitudinalanalysessasttools,
 archiveprefix = {arXiv},
 author = {Jean-Charles {Noirot Ferrand} and Kyle Domico and Yohan Beugin and Patrick McDaniel},
 booktitle = {Under Review},
 eprint = {2605.07900},
 primaryclass = {cs.CR},
 title = {Longitudinal Analyses of SAST Tools: A CodeQL Case Study},
 url = {https://arxiv.org/abs/2605.07900},
 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 Code Cite

@inproceedings{agents_cvpr26,
 address = {Denver, CO},
 archiveprefix = {arXiv},
 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)},
 eprint = {2503.01734},
 month = {June},
 primaryclass = {cs.CR},
 title = {Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning},
 url = {https://arxiv.org/abs/2503.01734},
 year = {2026}
}

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

PDF Code 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}
}