Community Computing: Comparisons between Rural and Urban Societies Using Mobile Phone Data. - Nathan Eagle; Yves-Alexandre de Montjoye; Luís M. A. Bettencourt (CSE (4), 2009)

The Need for Champions for Approximate Social Search. - Yves-Alexandre de Montjoye; Jesika Haria; Manuel Cebrián; Alex Pentland (SocialCom/PASSAT, 2011)

On the Trusted Use of Large-Scale Personal Data. - Yves-Alexandre de Montjoye; Samuel S. Wang; Alex Pentland (IEEE Data Eng. Bull., 2012)

Predicting Personality Using Novel Mobile Phone-Based Metrics. - Yves-Alexandre de Montjoye; Jordi Quoidbach; Florent Robic; Alex Pentland (SBP, 2013)

Big Data-Driven Marketing: How Machine Learning Outperforms Marketers' Gut-Feeling. - Pål Roe Sundsøy; Johannes Bjelland; Asif M. Iqbal; Alex Pentland; Yves-Alexandre de Montjoye (SBP, 2014)

D4D-Senegal: The Second Mobile Phone Data for Development Challenge. - Yves-Alexandre de Montjoye; Zbigniew Smoreda; Romain Trinquart; Cezary Ziemlicki; Vincent D. Blondel (CoRR, 2014)

Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics. - Giuseppe D'Acquisto; Josep Domingo-Ferrer; Panayiotis Kikiras; Vicenç Torra; Yves-Alexandre de Montjoye; Athena Bourka (CoRR, 2015)

Using Deep Learning to Predict Demographics from Mobile Phone Metadata. - Bjarke Felbo; Pål Roe Sundsøy; Alex Pentland; Sune Lehmann; Yves-Alexandre de Montjoye (CoRR, 2015)

bandicoot: a Python Toolbox for Mobile Phone Metadata. - Yves-Alexandre de Montjoye; Luc Rocher; Alex 'Sandy' Pentland (J. Mach. Learn. Res., 2016)

Modeling the Temporal Nature of Human Behavior for Demographics Prediction. - Bjarke Felbo; Pål Sundsøy; Alex 'Sandy' Pentland; Sune Lehmann; Yves-Alexandre de Montjoye (ECML/PKDD (3), 2017)

Improving individual predictions using social networks assortativity. - Dounia Mulders; Cyril de Bodt; Johannes Bjelland; Alex 'Sandy' Pentland; Michel Verleysen; Yves-Alexandre de Montjoye (WSOM, 2017)

Improving official statistics in emerging markets using machine learning and mobile phone data. - Eaman Jahani; Pål Sundsøy; Johannes Bjelland; Linus Bengtsson; Alex 'Sandy' Pentland; Yves-Alexandre de Montjoye (EPJ Data Sci., 2017)

Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data. - Eaman Jahani; Pål Sundsøy; Johannes Bjelland; Linus Bengtsson; Alex 'Sandy' Pentland; Yves-Alexandre de Montjoye (EPJ Data Sci., 2017)

Quantifying Surveillance in the Networked Age: Node-based Intrusions and Group Privacy. - Laura Radaelli; Piotr Sapiezynski; Florimond Houssiau; Erez Shmueli; Yves-Alexandre de Montjoye (CoRR, 2018)

When the signal is in the noise: The limits of Diffix's sticky noise. - Andrea Gadotti; Florimond Houssiau; Luc Rocher; Yves-Alexandre de Montjoye (CoRR, 2018)

Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey. - Albert Ali Salah; Alex Pentland; Bruno Lepri; Emmanuel Letouzé; Patrick Vinck; Yves-Alexandre de Montjoye; Xiaowen Dong 001; Özge Dagdelen (CoRR, 2018)

Mapping the Privacy-Utility Tradeoff in Mobile Phone Data for Development. - Alejandro Noriega-Campero; Alex Rutherford; Oren Lederman; Yves-Alexandre de Montjoye; Alex Pentland (CoRR, 2018)

Modeling and Understanding Intrinsic Characteristics of Human Mobility. - Jameson L. Toole; Yves-Alexandre de Montjoye; Marta C. González; Alex 'Sandy' Pentland (Handbook of Mobile Data Privacy, 2018)

Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey. - Albert Ali Salah; Alex Pentland; Bruno Lepri; Emmanuel Letouzé; Yves-Alexandre de Montjoye; Xiaowen Dong 001; Özge Dagdelen; Patrick Vinck (Data for Refugees Challenge, 2019)

OPAL: High performance platform for large-scale privacy-preserving location data analytics. - Axel Oehmichen; Shubham Jain; Andrea Gadotti; Yves-Alexandre de Montjoye (IEEE BigData, 2019)

Differentially Private Compressive K-means. - Vincent Schellekens; Antoine Chatalic; Florimond Houssiau; Yves-Alexandre de Montjoye; Laurent Jacques; Rémi Gribonval (ICASSP, 2019)

When the Signal is in the Noise: Exploiting Diffix's Sticky Noise. - Andrea Gadotti; Florimond Houssiau; Luc Rocher; Benjamin Livshits; Yves-Alexandre de Montjoye (USENIX Security Symposium, 2019)

UNVEIL: Capture and Visualise WiFi Data Leakages. - Shubham Jain; Eden Bensaid; Yves-Alexandre de Montjoye (WWW, 2019)

Inference of node attributes from social network assortativity. - Dounia Mulders; Cyril de Bodt; Johannes Bjelland; Alex Pentland; Michel Verleysen; Yves-Alexandre de Montjoye (Neural Comput. Appl., 2020)

Towards Matching User Mobility Traces in Large-Scale Datasets. - Dániel Kondor; Behrooz Hashemian; Yves-Alexandre de Montjoye; Carlo Ratti (IEEE Trans. Big Data, 2020)

The Observatory of Anonymity: An Interactive Tool to Understand Re-Identification Risks in 89 countries. - Luc Rocher; Meenatchi Sundaram Muthu Selva Annamalai; Yves-Alexandre de Montjoye (WWW (Companion Volume), 2021)

Dataset correlation inference attacks against machine learning models. - Ana-Maria Cretu 002; Florent Guépin; Yves-Alexandre de Montjoye (CoRR, 2021)

The risk of re-identification remains high even in country-scale location datasets. - Ali Farzanehfar; Florimond Houssiau; Yves-Alexandre de Montjoye (Patterns, 2021)

QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. - Ana-Maria Cretu 002; Florimond Houssiau; Antoine Cully; Yves-Alexandre de Montjoye (CCS, 2022)

M2M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch. - Florimond Houssiau; Vincent Schellekens; Antoine Chatalic; Shreyas Kumar Annamraju; Yves-Alexandre de Montjoye (STM, 2022)

Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice. - Andrea Gadotti; Florimond Houssiau; Meenatchi Sundaram Muthu Selva Annamalai; Yves-Alexandre de Montjoye (USENIX Security Symposium, 2022)

Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. - Shubham Jain; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (USENIX Security Symposium, 2022)

Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data. - Florent Guépin; Matthieu Meeus; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (ESORICS Workshops (1), 2023)

Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing. - Matthieu Meeus; Florent Guépin; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (ESORICS (2), 2023)

Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. - Shubham Jain; Ana-Maria Cretu 002; Antoine Cully; Yves-Alexandre de Montjoye (SP, 2023)

Re-aligning Shadow Models can Improve White-box Membership Inference Attacks. - Ana-Maria Cretu 002; Daniel Jones; Yves-Alexandre de Montjoye; Shruti Tople (CoRR, 2023)

Web Privacy: A Formal Adversarial Model for Query Obfuscation. - Florimond Houssiau; Thibaut Liénart; Julien M. Hendrickx; Yves-Alexandre de Montjoye (IEEE Trans. Inf. Forensics Secur., 2023)

Detrimental network effects in privacy: A graph-theoretic model for node-based intrusions. - Florimond Houssiau; Piotr Sapiezynski; Laura Radaelli; Erez Shmueli; Yves-Alexandre de Montjoye (Patterns, 2023)

Adversarial competition and collusion in algorithmic markets. - Luc Rocher; Arnaud Tournier; Yves-Alexandre de Montjoye (Nat. Mac. Intell., 2023)

QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems. - Bozhidar Stevanoski; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (CCS, 2024)

Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks. - Ana-Maria Cretu 002; Miruna Rusu; Yves-Alexandre de Montjoye (CODASPY, 2024)

Copyright Traps for Large Language Models. - Matthieu Meeus; Igor Shilov; Manuel Faysse; Yves-Alexandre de Montjoye (ICML, 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 (USENIX Security Symposium, 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)

Mosaic Memory: Fuzzy Duplication in Copyright Traps for Large Language Models. - Igor Shilov; Matthieu Meeus; Yves-Alexandre de Montjoye (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)

Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods. - Joseph Pollock; Igor Shilov; Euodia Dodd; Yves-Alexandre de Montjoye (CoRR, 2024)

Watermarking Training Data of Music Generation Models. - Pascal Epple; Igor Shilov; Bozhidar Stevanoski; Yves-Alexandre de Montjoye (CoRR, 2024)

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates. - Yuhan Liu; Florent Guépin; Igor Shilov; Yves-Alexandre de Montjoye (CoRR, 2024)

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting. - Ana-Maria Cretu 002; Daniel Jones; Yves-Alexandre de Montjoye; Shruti Tople (Proc. Priv. Enhancing Technol., 2024)

A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data. - Vincent Guan; Florent Guépin; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (Proc. Priv. Enhancing Technol., 2024)

On the Difficulty of NOT being Unique: Fingerprinting Users from Wi-Fi Data in Mobile Devices. - Mariana Cunha; Ricardo Mendes; Yves-Alexandre de Montjoye; João P. Vilela (SAC, 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 (SaTML, 2025)

WiFi-Based Location Tracking: A Still Open Door on Laptops. - Mariana Cunha; Ricardo Mendes; Yves-Alexandre de Montjoye; João P. Vilela (IEEE Open J. Comput. Soc., 2025)

DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics. - Yifeng Mao; Bozhidar Stevanoski; Yves-Alexandre de Montjoye (CoRR, 2025)

The DCR Delusion: Measuring the Privacy Risk of Synthetic Data. - Zexi Yao; Natasa Krco; Georgi Ganev; Yves-Alexandre de Montjoye (CoRR, 2025)

Alignment Under Pressure: The Case for Informed Adversaries When Evaluating LLM Defenses. - Xiaoxue Yang; Bozhidar Stevanoski; Matthieu Meeus; Yves-Alexandre de Montjoye (CoRR, 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; et al. (CoRR, 2025)

Counterfactual Influence as a Distributional Quantity. - Matthieu Meeus; Igor Shilov; Georgios Kaissis; Yves-Alexandre de Montjoye (CoRR, 2025)