Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge
Differentially private synthetic data generation offers a recent solution to release analytically useful data while preserving the privacy of individuals in the data. In order to utilize these algorithms for public policy decisions, policymakers need an accurate understanding of these algorithms�...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Labor Dynamics Institute
2021-02-01
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| Series: | The Journal of Privacy and Confidentiality |
| Subjects: | |
| Online Access: | http://www.journalprivacyconfidentiality.org/index.php/jpc/article/view/748 |
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