On the Existential Theories of Büchi Arithmetic and Linear p-adic Fields. - Florent Guépin; Christoph Haase; James Worrell 001 (LICS, 2019)

Dataset correlation inference attacks against machine learning models. - Ana-Maria Cretu 002; Florent Guépin; Yves-Alexandre de Montjoye (CoRR, 2021)

Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data. - Florent Guépin; Matthieu Meeus; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (ESORICS Workshops (1), 2023)

Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing. - Matthieu Meeus; Florent Guépin; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (ESORICS (2), 2023)

Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models. - Florent Guépin; Natasa Krco; Matthieu Meeus; Yves-Alexandre de Montjoye (CoRR, 2024)

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates. - Yuhan Liu; Florent Guépin; Igor Shilov; Yves-Alexandre de Montjoye (CoRR, 2024)

A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data. - Vincent Guan; Florent Guépin; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (Proc. Priv. Enhancing Technol., 2024)