Florimond Houssiau
Florimond Houssiau
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Quantifying surveillance in the networked age: Node-based intrusions and group privacy
L Radaelli, P Sapiezynski, F Houssiau, E Shmueli, YA de Montjoye
arXiv preprint arXiv:1803.09007, 2018
122018
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
102019
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
9*2018
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
Technical Report. Imperial College, Computational Privacy Group. https://cpg …, 2020
72020
Compressive Learning with Privacy Guarantees
A Chatalic, V Schellekens, F Houssiau, YA de Montjoye, L Jacques, ...
12020
Can we fight COVID-19 without resorting to mass surveillance?
YA de Montjoye, F Houssiau
CPG Blog, 2020
12020
Compressive k-means with differential privacy
V Schellekens, A Chatalic, F Houssiau, YA de Montjoye, L Jacques, ...
IEEE Workshop on Electronics, Computer & Applications, 1-2, 2014
12014
Blogpost: 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
2020
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
Compressive k-means with differential privacy
F Houssiau, YA De Montjoye, V Schellekens, A Chatalic, L Jacques, ...
Theoretical models for web search privacy through query obfuscation
F Houssiau, J Hendrickx
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Articles 1–12