Hi, I’m Jérémie 👋
I’m a PhD candidate in ML security and privacy at École Polytechnique Paris, supervised by Prof. Sonia Vanier and Prof. Davide Buscaldi. I also collaborate with Crédit Agricole as part of the “Responsible and Trustworthy AI” partnership with École Polytechnique.
My research focuses on security and privacy in machine learning, with a particular interest in the robustness of Large Language Models against privacy attacks. I have developed new adversarial attacks to reconstruct training data from multimodal models, designed an auditing method to predict LLM memorization in classification settings, and proposed a new taxonomy of memorization that aligns with attention mechanisms and enables fine-grained localization. I am currently working on new techniques for uncertainty quantification in LLM outputs.
I grew up near Aix-en-Provence, France, and followed the French engineering curriculum, including two years of “classe préparatoire” at Sainte Geneviève in Versailles. I then joined the engineering program at École Polytechnique, graduating in 2022. I also graduated from ENS Paris-Saclay “MVA” Master in 2023, specializing in Mathematics, Vision, and Learning. I started my PhD at École Polytechnique Paris in 2023.
🔥 News
- 2025.07: 🥳 Our paper was accepted to ECAI 2025! See our preprint here!
- 2025.04: 👨🏫 I was at [SaTML 2026 conference] in Copengagen. Very interesting papers and presentations!
- 2024.08: 🗣️ I was at Usenix Security Symposium in Philadelphie to present our paper Reconstructing Training Data From Document Understanding Models
- 2024.03: 🍾 The “Responsible and Trustworthy AI” between Crédit Agricole and École Polytechnique is signed! Check out this article here.
🔈 Invited talks
- 2025.01.28: FIIA 2025, Paris. Measuring and understanding ivacy risks in Language Models. Sonia Vanier and Jérémie Dentan. [Slides] [LinkedIn Post]
- 2024.10.02: Google Responsible AI Summit, Paris. Towards security and privacy in document understanding models. Sonia Vanier and Jérémie Dentan. [Slides] [LinkedIn Post]
- 2024.10.02: Google Responsible AI Summit, Paris. Trust and Security in AI. Sonia Vanier and Jérémie Dentan. [Slides] [LinkedIn Post]
📝 Publications
Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs
ArXiv Preprint - August 2025
Jérémie Dentan, Davide Buscaldi, Sonia Vanier
- Analyzing attention weights with CNNs to identify patterns in verbatim-memorized samples
- Introducing a data-driven taxonomy of memorized samples
- Localizing the attention regions involved in each form of memorization
- [Code]
ArXiv Preprint - June 2025
Mathis Le Bail, Jérémie Dentan, Davide Buscaldi, Sonia Vanier
- A new SAE-based method to extract interpretable concepts from LLMs
- Applicable to any LLM-based classification scenario
- Demonstrates strong empirical results
- [Code]
Predicting memorization within Large Language Models fine-tuned for classification
European Conference on Artificial Intelligence - October 2025
Jérémie Dentan, Davide Buscaldi, Aymen Shabou, Sonia Vanier
- An auditing tool for practitioners to evaluate their models and predict vulnerable samples before they are memorized
- Theoretical justification and strong empirical results
- Easy to use with a low computational budget
- [Code]
Reconstructing Training Data From Document Understanding Models
Usenix Security Symposium - August 2024
Jérémie Dentan, Arnaud Paran, Aymen Shabou
- Presents the first reconstruction attacks against document understanding models
- Strong empirical results, with up to 4.1% of perfect reconstructions
- Focus on the impact of multimodality on the performance of the attack
- [Slides] [Presentation Video]
- Using Error Level Analysis to remove Underspecification Jérémie Dentan. 2023.
- Towards a reliable detection of forgeries based on demosaicing Jérémie Dentan. 2023.
- Cellular Component Ontology Prediction Jérémie Dentan, Abdellah El Mrini, Meryem Jaaidan. 2023.
📖 Educations
- 2022-2023, Master of Science in Mathematics, Vision, Learning (MVA). ENS Paris-Saclay, Gif-sur-Yvette, France.
- 2019-2022, Master of Engineering in Applied Mathematics and Computer Science. École Polytechnique, Palaiseau, France.
- 2017-2019, Classe préparatoire MPSI/MP*. Lycée Privé Ste Geneviève, Versailles, France.
💻 Internships
- 2023.04 - 2023.09, Research Assistant. Crédit Agricole DataLab Groupe, Montrouge, France.
- 2022.04 - 2022.09, Research Assistant. Oracle Labs, Zurich, Switzerland.
- 2021.06 - 2021.08, Business Analyst. BearingPoint, Paris, France.
- 2019.09 - 2020.03, Deputy Project Manager for Civil Security. French Embassy, Antananarivo, Madagascar.