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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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2021-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-90276-6 |