Florimond Houssiau

According to our database, Florimond Houssiau authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, January, 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

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

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

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

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

Proceedings of the 31st USENIX Security Symposium, 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

Proceedings of the Security and Trust Management - 18th International Workshop, 2022

QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems.

Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

The risk of re-identification remains high even in country-scale location datasets.

Ali Farzanehfar, Florimond Houssiau, Yves-Alexandre de Montjoye

Patterns, 2021

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

Proceedings of the 28th USENIX Security Symposium, 2019

Differentially Private Compressive K-means.

Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval

Proceedings of the IEEE International Conference on Acoustics, 2019

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

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