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2020 – today
- 2024
[j4]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): 50-66 (2024)- 2023
- [j3]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): 100662 (2023) - [j2]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: 2132-2143 (2023) - [i8]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 abs/2304.07134 (2023) - 2022
- [c5]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: 623-637 - [c4]Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye:
M2M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch. STM 2022: 117-135 - [c3]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: 501-518 - [i7]James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N. Cohen, Adrian Weller:
Synthetic Data - what, why and how? CoRR abs/2205.03257 (2022) - [i6]Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye:
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CoRR abs/2211.05249 (2022) - [i5]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 abs/2211.06550 (2022) - [i4]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 abs/2211.11540 (2022) - [i3]Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye:
M2M: A general method to perform various data analysis tasks from a differentially private sketch. CoRR abs/2211.14062 (2022) - 2021
- [j1]Ali Farzanehfar, Florimond Houssiau, Yves-Alexandre de Montjoye:
The risk of re-identification remains high even in country-scale location datasets. Patterns 2(3): 100204 (2021)
2010 – 2019
- 2019
- [c2]Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval:
Differentially Private Compressive K-means. ICASSP 2019: 7933-7937 - [c1]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: 1081-1098 - 2018
- [i2]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 abs/1803.09007 (2018) - [i1]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 abs/1804.06752 (2018)
Coauthor Index
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