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Florent Guépin
Florent Guépin
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats
L Dumortier, F Guépin, ML Delignette-Muller, C Boulocher, T Grenier
Scientific reports 12 (1), 11418, 2022
302022
Achilles’ heels: vulnerable record identification in synthetic data publishing
M Meeus, F Guepin, AM Creţu, YA de Montjoye
European Symposium on Research in Computer Security, 380-399, 2023
212023
On the existential theories of Büchi arithmetic and linear p-adic fields
F Guépin, C Haase, J Worrell
2019 34th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 1-10, 2019
192019
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
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data
F Guépin, M Meeus, AM Creţu, YA de Montjoye
European Symposium on Research in Computer Security, 182-198, 2023
72023
Correlation inference attacks against machine learning models
AM Creţu, F Guépin, YA de Montjoye
arXiv preprint arXiv:2112.08806, 2021
52021
A zero auxiliary knowledge membership inference attack on aggregate location data
V Guan, F Guépin, AM Cretu, YA de Montjoye
arXiv preprint arXiv:2406.18671, 2024
32024
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models
F Guépin, N Krčo, M Meeus, YA de Montjoye
arXiv preprint arXiv:2405.15423, 2024
22024
Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates
Y Liu, F Guepin, I Shilov, YA De Montjoye
arXiv preprint arXiv:2412.20456, 2024
2024
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
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