Jean-Charles Noirot Ferrand

Ph.D. Student, University of Wisconsin–Madison

Hi! I am a Ph.D. student in the Department of Computer Sciences at the University of Wisconsin-Madison where I am a member of the Security and Privacy Research Group, advised by Prof. Patrick McDaniel.

I have received my M.S. in Computer Sciences from the University of Wisconsin-Madison, my Diplôme d'Ingénieur (M.S. and B.S. in Engineering Sciences) from the French Engineering School École Centrale de Lyon, and my B.S. in General Mathematics and Applications from Claude Bernard Lyon 1 University.

Research Interests: I am interested in building more secure and trustworthy systems. My current research focuses on open source software security, program analysis, and trustworthy AI.

Email (Personal): contact@jcnf.meEmail (Academic): jcnf@cs.wisc.edu

Recent & Selected Publications

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

arXiv

DOI

@misc{ferrand2026longitudinalanalysessasttools,
  archiveprefix = {arXiv},
  author = {Jean-Charles {Noirot Ferrand} and Kyle Domico and Yohan Beugin and Patrick McDaniel},
  doi = {10.48550/arXiv.2605.07900},
  eprint = {2605.07900},
  primaryclass = {cs.CR},
  title = {Longitudinal Analyses of SAST Tools: A CodeQL Case Study},
  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

arXiv

DOI

@inproceedings{domico2026adversarialagents,
  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)},
  doi = {10.48550/arXiv.2503.01734},
  title = {Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning},
  year = {2026}
}

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

arXiv

DOI

@misc{domico2026rolelearningattackingintrusion,
  archiveprefix = {arXiv},
  author = {Kyle Domico and Jean-Charles {Noirot Ferrand} and Patrick McDaniel},
  doi = {https://doi.org/10.48550/arXiv.2602.10299},
  eprint = {2602.10299},
  primaryclass = {cs.CR},
  title = {{The} {Role} of {Learning} in {Attacking} {Intrusion} {Detection} {Systems}},
  year = {2026}
}

Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs
Jean-Charles Noirot Ferrand, Yohan Beugin, Eric Pauley, Ryan Sheatsley, Patrick McDaniel
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2026

arXiv Code

DOI

Slides

Poster

@inproceedings{noirot_ferrand_targeting_2026,
  author = {Jean-Charles {Noirot Ferrand} and Yohan Beugin and Eric Pauley and Ryan Sheatsley and Patrick McDaniel},
  booktitle = {IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)},
  doi = {10.48550/arXiv.2501.16534},
  month = {March},
  title = {{Targeting} {Alignment}: {Extracting} {Safety} {Classifiers} of {Aligned} {LLMs}},
  year = {2026}
}

For a complete list of publications, please refer to my publications page.

Jean-Charles Noirot Ferrand

Recent & Selected Publications

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