A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms
Differential privacy has emerged as a popular model to provably limit privacy risks associated with a given data release. However releasing high dimensional synthetic data under differential privacy remains a challenging problem. In this paper, we study the problem of releasing synthetic data in the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Labor Dynamics Institute
2018-12-01
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| Series: | The Journal of Privacy and Confidentiality |
| Subjects: | |
| Online Access: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/657 |