Jean-Charles Noirot Ferrand

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 Cite

  @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 Cite

  @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 Cite

  @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 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 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.