Priv'IT: Private and Sample Efficient Identity TestingDownload PDFOpen Website

2017 (modified: 11 Nov 2022)ICML 2017Readers: Everyone
Abstract: We develop differentially private hypothesis testing methods for the small sample regime. Given a sample $\mathcal{D}$ from a categorical distribution $p$ over some domain $\Sigma$, an explicitly d...
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