Matthieu Meeus

19 papers A* 3Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
RAT-Bench: A Comprehensive Benchmark for Text Anonymization.
CoRR
Natasa Krco, Zexi Yao, Matthieu Meeus, Yves-Alexandre de Montjoye
2025 J jnl
Alignment Under Pressure: The Case for Informed Adversaries When Evaluating LLM Defenses.
CoRR
Xiaoxue Yang, Bozhidar Stevanoski, Matthieu Meeus, Yves-Alexandre de Montjoye
2025 J jnl
Counterfactual Influence as a Distributional Quantity.
CoRR
Matthieu Meeus, Igor Shilov, Georgios Kaissis, Yves-Alexandre de Montjoye
2025 — conf
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It).
SaTML
Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye
2025 J jnl
Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models.
CoRR
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
2025 A* conf
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text.
ICML
Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
2025 J jnl
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text.
CoRR
Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
2024 J jnl
ChocoLlama: Lessons Learned From Teaching Llamas Dutch.
CoRR
Matthieu Meeus, Anthony Rathé, François Remy, Pieter Delobelle, Jens-Joris Decorte, Thomas Demeester
2024 A* conf
Copyright Traps for Large Language Models.
ICML
Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye
2024 J jnl
Copyright Traps for Large Language Models.
CoRR
Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye
2024 A* conf
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.
USENIX Security Symposium
Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye
2024 J jnl
Inherent Challenges of Post-Hoc Membership Inference for Large Language Models.
CoRR
Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye
2024 J jnl
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models.
CoRR
Florent Guépin, Natasa Krco, Matthieu Meeus, Yves-Alexandre de Montjoye
2024 J jnl
Mosaic Memory: Fuzzy Duplication in Copyright Traps for Large Language Models.
CoRR
Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye
2023 — conf
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing.
ESORICS (2)
Matthieu Meeus, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2023 J jnl
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing.
CoRR
Matthieu Meeus, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2023 J jnl
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.
CoRR
Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye
2023 — conf
Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data.
ESORICS Workshops (1)
Florent Guépin, Matthieu Meeus, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2023 J jnl
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data.
CoRR
Florent Guépin, Matthieu Meeus, Ana-Maria Cretu, Yves-Alexandre de Montjoye