INSPECTRE: Privately Estimating the Unseen
We develop differentially private methods for estimating various distributional properties. Given a sample from a discrete distribution p, some functional f, and accuracy and privacy parameters alpha and epsilon, the goal is to estimate f(p) up to accuracy alpha, while maintaining epsilon-differenti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Labor Dynamics Institute
2020-06-01
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| Series: | The Journal of Privacy and Confidentiality |
| Subjects: | |
| Online Access: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/724 |