Differentially Private Inference for Binomial Data
We derive uniformly most powerful (UMP) tests for simple and one-sided hypotheses for a population proportion within the framework of Differential Privacy (DP), optimizing finite sample performance. We show that in general, DP hypothesis tests can be written in terms of linear constraints, and for...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Labor Dynamics Institute
2020-01-01
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| Series: | The Journal of Privacy and Confidentiality |
| Subjects: | |
| Online Access: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/725 |