Florimond Houssiau

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Differential Privacy

Privacy Guarantees

Top Venues

USENIX Security Symposium

Publications

Carlos Gavidia-Calderon, Steve Harris, Markus Hauru, Florimond Houssiau, Carsten Maple, Iain Stenson, May Yong
Transparent Decisions: Selective Information Disclosure To Generate Synthetic Data. IEEE Data Eng. Bull. 47 (2) (2024)
Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice. CoRR (2023)
Florimond Houssiau, Thibaut Liénart, Julien M. Hendrickx, Yves-Alexandre de Montjoye
Web Privacy: A Formal Adversarial Model for Query Obfuscation. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Florimond Houssiau, Piotr Sapiezynski, Laura Radaelli, Erez Shmueli, Yves-Alexandre de Montjoye
Detrimental network effects in privacy: A graph-theoretic model for node-based intrusions. Patterns 4 (1) (2023)
Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye
M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch. STM (2022)
Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CoRR (2022)
James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N. Cohen, Adrian Weller
Synthetic Data - what, why and how? CoRR (2022)
Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CCS (2022)
Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice. USENIX Security Symposium (2022)
Florimond Houssiau, James Jordon, Samuel N. Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum D. Mole, Camila Rangel Smith, Lukasz Szpruch
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. CoRR (2022)
Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye
M: A general method to perform various data analysis tasks from a differentially private sketch. CoRR (2022)
Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch, Owen Daniel, Michaela G. Lawrence, Robin Mitra, Henry Wilde, Callum D. Mole
A Framework for Auditable Synthetic Data Generation. CoRR (2022)
Ali Farzanehfar, Florimond Houssiau, Yves-Alexandre de Montjoye
The risk of re-identification remains high even in country-scale location datasets. Patterns 2 (3) (2021)
Andrea Gadotti, Florimond Houssiau, Luc Rocher, Benjamin Livshits, Yves-Alexandre de Montjoye
When the Signal is in the Noise: Exploiting Diffix's Sticky Noise. USENIX Security Symposium (2019)
Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval
Differentially Private Compressive K-means. ICASSP (2019)
Laura Radaelli, Piotr Sapiezynski, Florimond Houssiau, Erez Shmueli, Yves-Alexandre de Montjoye
Quantifying Surveillance in the Networked Age: Node-based Intrusions and Group Privacy. CoRR (2018)
Andrea Gadotti, Florimond Houssiau, Luc Rocher, Yves-Alexandre de Montjoye
When the signal is in the noise: The limits of Diffix's sticky noise. CoRR (2018)