Yves-Alexandre de Montjoye

78 papers A* 11Misc 2Journal 49Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs.
CoRR
Alexander Panfilov, Peter Romov, Igor Shilov, Yves-Alexandre de Montjoye, Jonas Geiping, Maksym Andriushchenko
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 A* conf
Certification for Differentially Private Prediction in Gradient-Based Training.
ICML
Matthew Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Müller, Yves-Alexandre de Montjoye, Adrian Weller, Calvin Tsay
2025 J jnl
Counterfactual Influence as a Distributional Quantity.
CoRR
Matthieu Meeus, Igor Shilov, Georgios Kaissis, Yves-Alexandre de Montjoye
2025 J jnl
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics.
CoRR
Yifeng Mao, Bozhidar Stevanoski, Yves-Alexandre de Montjoye
2025 A* conf
Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods.
USENIX Security Symposium
Joseph Pollock, Igor Shilov, Euodia Dodd, Yves-Alexandre de Montjoye
2025 Misc conf
On the Difficulty of NOT being Unique: Fingerprinting Users from Wi-Fi Data in Mobile Devices.
SAC
Mariana Cunha, Ricardo Mendes, Yves-Alexandre de Montjoye, João P. Vilela
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 — conf
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data.
ESORICS (1)
Zexi Yao, Natasa Krco, Georgi Ganev, Yves-Alexandre de Montjoye
2025 J jnl
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data.
CoRR
Zexi Yao, Natasa Krco, Georgi Ganev, Yves-Alexandre de Montjoye
2025 J jnl
The Tail Tells All: Estimating Model-Level Membership Inference Vulnerability Without Reference Models.
CoRR
Euodia Dodd, Natasa Krco, Igor Shilov, Yves-Alexandre de Montjoye
2025 J jnl
WiFi-Based Location Tracking: A Still Open Door on Laptops.
IEEE Open J. Comput. Soc.
Mariana Cunha, Ricardo Mendes, Yves-Alexandre de Montjoye, João P. Vilela
2024 J jnl
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data.
CoRR
Vincent Guan, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2024 J jnl
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data.
Proc. Priv. Enhancing Technol.
Vincent Guan, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye
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
Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods.
CoRR
Joseph Pollock, Igor Shilov, Euodia Dodd, 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
Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting.
Proc. Priv. Enhancing Technol.
Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople
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
2024 A* conf
QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems.
CCS
Bozhidar Stevanoski, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2024 J jnl
QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems.
CoRR
Bozhidar Stevanoski, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2024 — conf
Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks.
CODASPY
Ana-Maria Cretu, Miruna Rusu, Yves-Alexandre de Montjoye
2024 J jnl
Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks.
CoRR
Ana-Maria Cretu, Miruna Rusu, Yves-Alexandre de Montjoye
2024 J jnl
Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates.
CoRR
Yuhan Liu, Florent Guépin, Igor Shilov, Yves-Alexandre de Montjoye
2024 J jnl
Watermarking Training Data of Music Generation Models.
CoRR
Pascal Epple, Igor Shilov, Bozhidar Stevanoski, 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
Adversarial competition and collusion in algorithmic markets.
Nat. Mac. Intell.
Luc Rocher, Arnaud Tournier, Yves-Alexandre de Montjoye
2023 A* conf
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition.
SP
Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
2023 J jnl
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition.
CoRR
Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
2023 J jnl
Detrimental network effects in privacy: A graph-theoretic model for node-based intrusions.
Patterns
Florimond Houssiau, Piotr Sapiezynski, Laura Radaelli, Erez Shmueli, 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 J jnl
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice.
CoRR
Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye
2023 J jnl
Re-aligning Shadow Models can Improve White-box Membership Inference Attacks.
CoRR
Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople
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
2023 J jnl
Web Privacy: A Formal Adversarial Model for Query Obfuscation.
IEEE Trans. Inf. Forensics Secur.
Florimond Houssiau, Thibaut Liénart, Julien M. Hendrickx, Yves-Alexandre de Montjoye
2022 A* conf
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning.
USENIX Security Symposium
Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2022 — conf
M
STM
Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye
2022 J jnl
M
CoRR
Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye
2022 A* conf
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice.
USENIX Security Symposium
Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye
2022 A* conf
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems.
CCS
Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye
2022 J jnl
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems.
CoRR
Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye
2021 J jnl
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning.
CoRR
Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2021 J jnl
Dataset correlation inference attacks against machine learning models.
CoRR
Ana-Maria Cretu, Florent Guépin, Yves-Alexandre de Montjoye
2021 — conf
The Observatory of Anonymity: An Interactive Tool to Understand Re-Identification Risks in 89 countries.
WWW (Companion Volume)
Luc Rocher, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye
2021 J jnl
The risk of re-identification remains high even in country-scale location datasets.
Patterns
Ali Farzanehfar, Florimond Houssiau, Yves-Alexandre de Montjoye
2020 J jnl
Inference of node attributes from social network assortativity.
Neural Comput. Appl.
Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex Pentland, Michel Verleysen, Yves-Alexandre de Montjoye
2020 J jnl
Towards Matching User Mobility Traces in Large-Scale Datasets.
IEEE Trans. Big Data
Dániel Kondor, Behrooz Hashemian, Yves-Alexandre de Montjoye, Carlo Ratti
2019 Misc conf
Differentially Private Compressive K-means.
ICASSP
Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval
2019 — ch.
Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey.
Data for Refugees Challenge
Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé, Yves-Alexandre de Montjoye, Xiaowen Dong, Özge Dagdelen, Patrick Vinck
2019 — conf
OPAL: High performance platform for large-scale privacy-preserving location data analytics.
IEEE BigData
Axel Oehmichen, Shubham Jain, Andrea Gadotti, Yves-Alexandre de Montjoye
2019 A* conf
UNVEIL: Capture and Visualise WiFi Data Leakages.
WWW
Shubham Jain, Eden Bensaid, Yves-Alexandre de Montjoye
2019 A* conf
When the Signal is in the Noise: Exploiting Diffix's Sticky Noise.
USENIX Security Symposium
Andrea Gadotti, Florimond Houssiau, Luc Rocher, Benjamin Livshits, Yves-Alexandre de Montjoye
2018 J jnl
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey.
CoRR
Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé, Patrick Vinck, Yves-Alexandre de Montjoye, Xiaowen Dong, Özge Dagdelen
2018 J jnl
Mapping the Privacy-Utility Tradeoff in Mobile Phone Data for Development.
CoRR
Alejandro Noriega-Campero, Alex Rutherford, Oren Lederman, Yves-Alexandre de Montjoye, Alex Pentland
2018 — ch.
Modeling and Understanding Intrinsic Characteristics of Human Mobility.
Handbook of Mobile Data Privacy
Jameson L. Toole, Yves-Alexandre de Montjoye, Marta C. González, Alex 'Sandy' Pentland
2018 J jnl
Quantifying Surveillance in the Networked Age: Node-based Intrusions and Group Privacy.
CoRR
Laura Radaelli, Piotr Sapiezynski, Florimond Houssiau, Erez Shmueli, Yves-Alexandre de Montjoye
2018 J jnl
When the signal is in the noise: The limits of Diffix's sticky noise.
CoRR
Andrea Gadotti, Florimond Houssiau, Luc Rocher, Yves-Alexandre de Montjoye
2017 J jnl
Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data.
EPJ Data Sci.
Eaman Jahani, Pål Sundsøy, Johannes Bjelland, Linus Bengtsson, Alex 'Sandy' Pentland, Yves-Alexandre de Montjoye
2017 — conf
Improving individual predictions using social networks assortativity.
WSOM
Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex 'Sandy' Pentland, Michel Verleysen, Yves-Alexandre de Montjoye
2017 J jnl
Improving official statistics in emerging markets using machine learning and mobile phone data.
EPJ Data Sci.
Eaman Jahani, Pål Sundsøy, Johannes Bjelland, Linus Bengtsson, Alex 'Sandy' Pentland, Yves-Alexandre de Montjoye
2017 — conf
Modeling the Temporal Nature of Human Behavior for Demographics Prediction.
ECML/PKDD (3)
Bjarke Felbo, Pål Sundsøy, Alex 'Sandy' Pentland, Sune Lehmann, Yves-Alexandre de Montjoye
2017 J jnl
Towards matching user mobility traces in large-scale datasets.
CoRR
Dániel Kondor, Behrooz Hashemian, Yves-Alexandre de Montjoye, Carlo Ratti
2016 J jnl
bandicoot: a Python Toolbox for Mobile Phone Metadata.
J. Mach. Learn. Res.
Yves-Alexandre de Montjoye, Luc Rocher, Alex 'Sandy' Pentland
2015 J jnl
Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics.
CoRR
Giuseppe D'Acquisto, Josep Domingo-Ferrer, Panayiotis Kikiras, Vicenç Torra, Yves-Alexandre de Montjoye, Athena Bourka
2015 J jnl
Using Deep Learning to Predict Demographics from Mobile Phone Metadata.
CoRR
Bjarke Felbo, Pål Roe Sundsøy, Alex Pentland, Sune Lehmann, Yves-Alexandre de Montjoye
2014 — conf
Big Data-Driven Marketing: How Machine Learning Outperforms Marketers' Gut-Feeling.
SBP
Pål Roe Sundsøy, Johannes Bjelland, Asif M. Iqbal, Alex Pentland, Yves-Alexandre de Montjoye
2014 J jnl
D4D-Senegal: The Second Mobile Phone Data for Development Challenge.
CoRR
Yves-Alexandre de Montjoye, Zbigniew Smoreda, Romain Trinquart, Cezary Ziemlicki, Vincent D. Blondel
2013 — conf
Predicting Personality Using Novel Mobile Phone-Based Metrics.
SBP
Yves-Alexandre de Montjoye, Jordi Quoidbach, Florent Robic, Alex Pentland
2012 J jnl
On the Trusted Use of Large-Scale Personal Data.
IEEE Data Eng. Bull.
Yves-Alexandre de Montjoye, Samuel S. Wang, Alex Pentland
2011 — conf
The Need for Champions for Approximate Social Search.
SocialCom/PASSAT
Yves-Alexandre de Montjoye, Jesika Haria, Manuel Cebrián, Alex Pentland
2009 — conf
Community Computing: Comparisons between Rural and Urban Societies Using Mobile Phone Data.
CSE (4)
Nathan Eagle, Yves-Alexandre de Montjoye, Luís M. A. Bettencourt