PrivateSQL: Reimagining and designing a new differentially private SQL query engine

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‍While differential privacy is considered the dominant standard for private data analysis, much of the research literature applies only to flat tables, ignoring the complexity of multi-relational schemas and constraints.

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Summary:

‍While differential privacy is considered the dominant standard for private data analysis, much of the research literature applies only to flat tables, ignoring the complexity of multi-relational schemas and constraints. This work presents PrivateSQL, a first-of-its-kind end-to-end differentially private relational database system. We demonstrate that our system can offer error rates 1,000 times lower than competing approaches to answering SQL queries under differential privacy. 

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