Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Guépin, Florent"'
Location data is frequently collected from populations and shared in aggregate form to guide policy and decision making. However, the prevalence of aggregated data also raises the privacy concern of membership inference attacks (MIAs). MIAs infer whe
Externí odkaz:
http://arxiv.org/abs/2406.18671
Membership Inference Attacks (MIAs) are widely used to evaluate the propensity of a machine learning (ML) model to memorize an individual record and the privacy risk releasing the model poses. MIAs are commonly evaluated similarly to ML models: the M
Externí odkaz:
http://arxiv.org/abs/2405.15423
Publikováno v:
ESORICS 2023 workshop Data Privacy Management (DPM) 2023
Synthetic data is emerging as one of the most promising solutions to share individual-level data while safeguarding privacy. While membership inference attacks (MIAs), based on shadow modeling, have become the standard to evaluate the privacy of synt
Externí odkaz:
http://arxiv.org/abs/2307.01701
Publikováno v:
Computer Security ESORICS 2023
Synthetic data is seen as the most promising solution to share individual-level data while preserving privacy. Shadow modeling-based Membership Inference Attacks (MIAs) have become the standard approach to evaluate the privacy risk of synthetic data.
Externí odkaz:
http://arxiv.org/abs/2306.10308
Publikováno v:
Science Advances, Volume 10, Issue 28, 2024
Despite machine learning models being widely used today, the relationship between a model and its training dataset is not well understood. We explore correlation inference attacks, whether and when a model leaks information about the correlations bet
Externí odkaz:
http://arxiv.org/abs/2112.08806
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Dumortier, Léo1 (AUTHOR), Guépin, Florent2,3 (AUTHOR), Delignette-Muller, Marie-Laure4 (AUTHOR), Boulocher, Caroline1,5 (AUTHOR) caroline.boulocher@unilasalle.fr, Grenier, Thomas6 (AUTHOR)
Publikováno v:
Scientific Reports. 7/6/2022, Vol. 12 Issue 1, p1-12. 12p.