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2020 – today
- 2026
[i14]Natasa Krco, Zexi Yao, Matthieu Meeus, Yves-Alexandre de Montjoye:
RAT-Bench: A Comprehensive Benchmark for Text Anonymization. CoRR abs/2602.12806 (2026)- [i13]Matthieu Meeus, Anil Ramakrishna, Matthew Grange, Zheng Xu, Luca Melis:
Detecting Functional Memorization in Code Language Models. CoRR abs/2606.12764 (2026) - 2025
- [c8]Natasa Krco, Florent Guépin, Matthieu Meeus, Bogdan Kulynych, Yves-Alexandre de Montjoye:
Lost in the Averages: Reassessing Record-Specific Privacy Risk Evaluation. 2025: 16-31 - [c7]Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri:
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. ICML 2025 - [c6]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:
Exploring the limits of strong membership inference attacks on large language models. NeurIPS 2025 - [c5]Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye:
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It). SaTML 2025: 385-401 - [i12]Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri:
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. CoRR abs/2502.14921 (2025) - [i11]Xiaoxue Yang, Bozhidar Stevanoski, Matthieu Meeus, Yves-Alexandre de Montjoye:
Alignment Under Pressure: The Case for Informed Adversaries When Evaluating LLM Defenses. CoRR abs/2505.15738 (2025) - [i10]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:
Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models. CoRR abs/2505.18773 (2025) - [i9]Matthieu Meeus, Igor Shilov, Georgios Kaissis, Yves-Alexandre de Montjoye:
Counterfactual Influence as a Distributional Quantity. CoRR abs/2506.20481 (2025) - 2024
- [c4]Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye:
Copyright Traps for Large Language Models. ICML 2024: 35296-35309 - [c3]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. USENIX Security Symposium 2024 - [i8]Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye:
Copyright Traps for Large Language Models. CoRR abs/2402.09363 (2024) - [i7]Florent Guépin, Natasa Krco, Matthieu Meeus, Yves-Alexandre de Montjoye:
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models. CoRR abs/2405.15423 (2024) - [i6]Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye:
Mosaic Memory: Fuzzy Duplication in Copyright Traps for Large Language Models. CoRR abs/2405.15523 (2024) - [i5]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Inherent Challenges of Post-Hoc Membership Inference for Large Language Models. CoRR abs/2406.17975 (2024) - [i4]Matthieu Meeus, Anthony Rathé, François Remy, Pieter Delobelle, Jens-Joris Decorte, Thomas Demeester:
ChocoLlama: Lessons Learned From Teaching Llamas Dutch. CoRR abs/2412.07633 (2024) - 2023
- [c2]Florent Guépin
, Matthieu Meeus, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data. ESORICS Workshops (1) 2023: 182-198 - [c1]Matthieu Meeus, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing. ESORICS (2) 2023: 380-399 - [i3]Matthieu Meeus, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing. CoRR abs/2306.10308 (2023) - [i2]Florent Guépin, Matthieu Meeus, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data. CoRR abs/2307.01701 (2023) - [i1]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. CoRR abs/2310.15007 (2023)
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