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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Sun, 14 Dec 2025 05:22:56 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"693e49b0-7e46" expires: Tue, 30 Dec 2025 02:17:29 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: AC57:3655F2:986DC4:AB2037:695333E0 accept-ranges: bytes age: 0 date: Tue, 30 Dec 2025 02:07:29 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210089-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767060449.975597,VS0,VE212 vary: Accept-Encoding x-fastly-request-id: 03be1090db9e4ea5eab0ba85d470fd481c62ab87 content-length: 8550 Jean-Charles Noirot Ferrand - Homepage

Jean-Charles Noirot Ferrand

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 as well as my Diplôme d'Ingénieur (M.S. and B.S. in Engineering Sciences) from the French Engineering School École Centrale de Lyon. I also received a 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 software security and how it evolves in time, as well as trustworthy AI (especially LLMs).

Email: contact@jcnf.me

Address: 1205 University Ave., Room 4576, Madison WI 53706, USA

Recent & Selected Publications

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

PDF Cite

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

LibIHT: A Hardware-Based Approach to Efficient and Evasion-Resistant Dynamic Binary Analysis
Changyu Zhao, Yohan Beugin, Jean-Charles Noirot Ferrand, Quinn Burke, Guancheng Li, Patrick McDaniel
Workshop on Software Understanding and Reverse Engineering (SURE), 2025

PDF Code Cite

@inproceedings{zhao_libiht_2025,
                         address = {Taipei, Taiwan},
                         author = {Changyu Zhao and Yohan Beugin and Jean-Charles {Noirot Ferrand} and Quinn Burke and Guancheng Li and Patrick McDaniel},
                         booktitle = {Workshop on Software Understanding and Reverse Engineering (SURE)},
                         keywords = {workshop},
                         month = {October},
                         title = {{LibIHT}: A Hardware-Based Approach to Efficient and Evasion-Resistant Dynamic Binary Analysis},
                         url = {https://arxiv.org/abs/2510.16251},
                         year = {2025}
                        }

On the Robustness Tradeoff in Fine-Tuning
Kunyang Li, Jean-Charles Noirot Ferrand, Ryan Sheatsley, Blaine Hoak, Yohan Beugin, Eric Pauley, Patrick McDaniel
IEEE/CVF International Conference on Computer Vision (ICCV), 2025

PDF Cite

@inproceedings{li_robustness_2025,
                         author = {Kunyang Li and Jean-Charles {Noirot Ferrand} and Ryan Sheatsley and Blaine Hoak and Yohan Beugin and Eric Pauley and Patrick McDaniel},
                         booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
                         month = {October},
                         title = {On the {Robustness} {Tradeoff} in {Fine}-{Tuning}},
                         url = {https://arxiv.org/abs/2503.14836},
                         year = {2025}
                        }

Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
Kyle Domico, Jean-Charles Noirot Ferrand, Ryan Sheatsley, Eric Pauley, Josiah Hanna, Patrick McDaniel
In submission, 2025

PDF Cite

@misc{domico2025adversarialagentsblackboxevasion,
                         archiveprefix = {arXiv},
                         author = {Kyle Domico and Jean-Charles {Noirot Ferrand} and Ryan Sheatsley and Eric Pauley and Josiah Hanna and Patrick McDaniel},
                         eprint = {2503.01734},
                         primaryclass = {cs.CR},
                         title = {Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning},
                         url = {https://arxiv.org/abs/2503.01734},
                         year = {2025}
                        }

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

Professional Activities

Teaching Experience

CS 642 - Introduction to Information Security, Course Design, Guest Lecturer, Teaching Assistant Fall 2025

Conferences

Artifact Reviewer

Proceedings of Privacy Enhancing Technologies Symposium (PoPETs) 2026
IEEE Symposium on Security and Privacy (IEEE S&P) 2026
Network and Distributed System Security (NDSS) 2026
USENIX Security Symposium (USENIX Security) 2025 , 2026

External Reviewer

International Conference on Learning Representations (ICLR) 2025
USENIX Security Symposium (USENIX Security) 2025
IEEE Symposium on Security and Privacy (IEEE S&P) 2025
ACM Conference on Computer and Communications Security (ACM CCS) 2024

Other service

UW-Madison New CS Graduate Students Mentoring Program 2024, Mentor

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Jean-Charles Noirot Ferrand

Recent & Selected Publications

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Professional Activities

Teaching Experience

Conferences

Artifact Reviewer

External Reviewer

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