Differentially Private Database Release via Kernel Mean Embeddings

ICML 2018 Matej BalogIlya TolstikhinBernhard Schölkopf

We lay theoretical foundations for new database release mechanisms that allow third-parties to construct consistent estimators of population statistics, while ensuring that the privacy of each individual contributing to the database is protected. The proposed framework rests on two main ideas... (read more)

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