Jean-Charles Noirot Ferrand

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

  • 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
    Code 
    @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},
                         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 
    @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 
    @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}
                        }
  • Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs
    Jean-Charles Noirot Ferrand, Yohan Beugin, Eric Pauley, Ryan Sheatsley, Patrick McDaniel
    In submission, 2025
    PDF Code Poster 
    @misc{ferrand2025targetingalignmentextractingsafety,
                         archiveprefix = {arXiv},
                         author = {Jean-Charles {Noirot Ferrand} and Yohan Beugin and Eric Pauley and Ryan Sheatsley and Patrick McDaniel},
                         eprint = {2501.16534},
                         primaryclass = {cs.CR},
                         title = {Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs},
                         url = {https://arxiv.org/abs/2501.16534},
                         year = {2025}
                        }
For a complete list of publications, please refer to my publications page.

Recent News

Recent Posts

Professional Activities

Teaching Experience

  • CS 642 - Introduction to Information Security, TA 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
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