Matthieu Meeus

According to our database, Matthieu Meeus authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Counterfactual Influence as a Distributional Quantity.

Matthieu Meeus, Igor Shilov, Georgios Kaissis, Yves-Alexandre de Montjoye

CoRR, June, 2025

Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models.

Jamie Hayes, Ilia Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Katherine Lee, Milad Nasr, Sahra Ghalebikesabi, Niloofar Mireshghallah, Meenatchi Sundaram Mutu Selva Annamalai, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper

CoRR, May, 2025

Alignment Under Pressure: The Case for Informed Adversaries When Evaluating LLM Defenses.

Xiaoxue Yang, Bozhidar Stevanoski, Matthieu Meeus, Yves-Alexandre de Montjoye

CoRR, May, 2025

The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text.

Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri

CoRR, February, 2025

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It).

Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

ChocoLlama: Lessons Learned From Teaching Llamas Dutch.

Matthieu Meeus, Anthony Rathé, François Remy, Pieter Delobelle, Jens-Joris Decorte, Thomas Demeester

CoRR, 2024

Inherent Challenges of Post-Hoc Membership Inference for Large Language Models.

Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye

CoRR, 2024

Mosaic Memory: Fuzzy Duplication in Copyright Traps for Large Language Models.

Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye

CoRR, 2024

Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models.

Florent Guépin, Natasa Krco, Matthieu Meeus, Yves-Alexandre de Montjoye

CoRR, 2024

Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.

Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye

Proceedings of the 33rd USENIX Security Symposium, 2024

Copyright Traps for Large Language Models.

Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing.

Matthieu Meeus, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye

Proceedings of the Computer Security - ESORICS 2023, 2023

Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data.

Florent Guépin, Matthieu Meeus, Ana-Maria Cretu, Yves-Alexandre de Montjoye

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023