Differentially private density estimation with skew-normal mixtures model

Abstract The protection of private data is a hot research issue in the era of big data. Differential privacy is a strong privacy guarantees in data analysis. In this paper, we propose DP-MSNM, a parametric density estimation algorithm using multivariate skew-normal mixtures (MSNM) model to different...

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Autor principal: Weisan Wu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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R
Q
Acceso en línea:https://doaj.org/article/38a81501649e481ca7c43f94c250503a
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