Oblivious Sampling Algorithms for Private Data Analysis

NeurIPS 2019 Sajin SasyOlga Ohrimenko

We study secure and privacy-preserving data analysis based on queries executed on samples from a dataset. Trusted execution environments (TEEs) can be used to protect the content of the data during query computation, while supporting differential-private (DP) queries in TEEs provides record privacy when query output is revealed... (read more)

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