Следене
Florimond Houssiau
Florimond Houssiau
Alan Turing Institute
Потвърден имейл адрес: turing.ac.uk - Начална страница
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Позовавания
Позовавания
Година
Synthetic Data--what, why and how?
J Jordon, L Szpruch, F Houssiau, M Bottarelli, G Cherubin, C Maple, ...
arXiv preprint arXiv:2205.03257, 2022
872022
When the signal is in the noise: The limits of dif x’s sticky noise
A Gadotti, F Houssiau, L Rocher, Y de Montjoye
arXiv preprint arXiv:1804.06752, 2018
34*2018
Differentially private compressive k-means
V Schellekens, A Chatalic, F Houssiau, YA De Montjoye, L Jacques, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
272019
Detrimental network effects in privacy: A graph-theoretic model for node-based intrusions
F Houssiau, P Sapieżyński, L Radaelli, E Shmueli, YA de Montjoye
Patterns 4 (1), 2023
20*2023
The risk of re-identification remains high even in country-scale location datasets
A Farzanehfar, F Houssiau, YA de Montjoye
Patterns 2 (3), 2021
182021
Compressive learning with privacy guarantees
A Chatalic, V Schellekens, F Houssiau, YA De Montjoye, L Jacques, ...
Information and Inference: A Journal of the IMA 11 (1), 251-305, 2022
172022
Tapas: a toolbox for adversarial privacy auditing of synthetic data
F Houssiau, J Jordon, SN Cohen, O Daniel, A Elliott, J Geddes, C Mole, ...
arXiv preprint arXiv:2211.06550, 2022
162022
Evaluating COVID-19 contact tracing apps? Here are 8 privacy questions we think you should ask
YA de Montjoye, F Houssiau, A Gadotti, F Guepin
Computational Privacy Group Blog, 2020
142020
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
A Gadotti, F Houssiau, MSMS Annamalai, YA de Montjoye
31st USENIX Security Symposium (USENIX Security 22), 501-518, 2022
122022
Blogpost: Can We Fight COVID-19 without Re-Sorting to Mass Surveillance
YA De Montjoye, F Houssiau
Computational Privacy Group, 2020
10*2020
On the difficulty of achieving Differential Privacy in practice: user-level guarantees in aggregate location data
F Houssiau, L Rocher, YA de Montjoye
Nature communications 13 (1), 29, 2022
92022
Querysnout: Automating the discovery of attribute inference attacks against query-based systems
AM Cretu, F Houssiau, A Cully, YA de Montjoye
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022
52022
Compressive k-means with differential privacy
V Schellekens, A Chatalic, F Houssiau, YA de Montjoye, L Jacques, ...
SPARS 2019-Signal Processing with Adaptive Sparse Structured Representations …, 2019
52019
A framework for auditable synthetic data generation
F Houssiau, SN Cohen, L Szpruch, O Daniel, MG Lawrence, R Mitra, ...
arXiv preprint arXiv:2211.11540, 2022
42022
Synthetic data–what, why and how?(2022)
J Jordon, L Szpruch, F Houssiau, M Bottarelli, G Cherubin, C Maple, ...
arXiv preprint arXiv:2205.03257, 0
4
Web Privacy: A Formal Adversarial Model for Query Obfuscation
F Houssiau, T Liénart, J Hendrickx, YA de Montjoye
IEEE Transactions on Information Forensics and Security 18, 2132-2143, 2023
2023
MM: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch
F Houssiau, V Schellekens, A Chatalic, SK Annamraju, YA de Montjoye
International Workshop on Security and Trust Management, 117-135, 2022
2022
Blogpost: When the signal is in the noise: Ex-ploiting Aircloak’s Diffix anonymization mecha-nism
A Gadotti, F Houssiau, L Rocher, YA de Montjoye
2018
Blogpost: Cambridge Analytica is only the begin-ning and you might have your friends to blame for it
YA de Montjoye, F Houssiau, P Sapieżyński, L Radaelli
2018
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