Private Query Release Assisted by Public Data

ICML 2020 Raef BassilyAlbert CheuShay MoranAleksandar NikolovJonathan UllmanZhiwei Steven Wu

We study the problem of differentially private query release assisted by access to public data. In this problem, the goal is to answer a large class $\mathcal{H}$ of statistical queries with error no more than $\alpha$ using a combination of public and private samples... (read more)

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