Florimond Houssiau

17 papers A* 3Misc 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Transparent Decisions: Selective Information Disclosure To Generate Synthetic Data.
IEEE Data Eng. Bull.
Carlos Gavidia-Calderon, Steve Harris, Markus Hauru, Florimond Houssiau, Carsten Maple, Iain Stenson, May Yong
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
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
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 J jnl
A Framework for Auditable Synthetic Data Generation.
CoRR
Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch, Owen Daniel, Michaela G. Lawrence, Robin Mitra, Henry Wilde, Callum D. Mole
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
2022 J jnl
Synthetic Data - what, why and how?
CoRR
James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N. Cohen, Adrian Weller
2022 J jnl
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data.
CoRR
Florimond Houssiau, James Jordon, Samuel N. Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum D. Mole, Camila Rangel Smith, Lukasz Szpruch
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
2019 Misc conf
Differentially Private Compressive K-means.
ICASSP
Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval
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
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