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)

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)

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)

Synthetic Data - what, why and how? - James Jordon; Lukasz Szpruch; Florimond Houssiau; Mirko Bottarelli; Giovanni Cherubin; Carsten Maple; Samuel N. Cohen; Adrian Weller (CoRR, 2022)

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. - Florimond Houssiau; James Jordon; Samuel N. Cohen; Owen Daniel; Andrew Elliott; James Geddes; Callum D. Mole; Camila Rangel Smith; Lukasz Szpruch (CoRR, 2022)

A Framework for Auditable Synthetic Data Generation. - Florimond Houssiau; Samuel N. Cohen; Lukasz Szpruch; Owen Daniel; Michaela G. Lawrence; Robin Mitra; Henry Wilde; Callum D. Mole (CoRR, 2022)

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)

Transparent Decisions: Selective Information Disclosure To Generate Synthetic Data. - Carlos Gavidia-Calderon; Steve Harris; Markus Hauru; Florimond Houssiau; Carsten Maple; Iain Stenson; May Yong (IEEE Data Eng. Bull., 2024)