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Differentially private density estimation with skew-normal mixtures model
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 differential priva...
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| Veröffentlicht in: | Sci Rep |
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| 1. Verfasser: | |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8155126/ https://ncbi.nlm.nih.gov/pubmed/34040031 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-90276-6 |
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