Matthieu Meeus

According to our database, Matthieu Meeus authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

RAT-Bench: A Comprehensive Benchmark for Text Anonymization.

Natasa Krco, Zexi Yao, Matthieu Meeus, Yves-Alexandre de Montjoye

CoRR, February, 2026

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

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

Exploring the limits of strong membership inference attacks on large language models.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Lost in the Averages: Reassessing Record-Specific Privacy Risk Evaluation.

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

Proceedings of the Computer Security. ESORICS 2025 International Workshops, 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