Jun 28, 2017 · This paper presents the first practical approach for differential privacy of SQL queries. Using 8.1 million real-world queries, we conduct an empirical study.

We prove that elastic sensitivity is an upper bound on local sensitivity and can therefore be used to enforce differential privacy using any local sensitivity- ...

Elastic sensitivity represents the theory behind FLEX: it is the first tractable approach to leverage local sensitivity for queries with general equijoins.

Sep 6, 2024 · We build FLEX, a practical end-to-end system to enforce differential privacy for SQL queries using elastic sensitivity. We demonstrate that FLEX ...

This paper presents the first practical approach for differential privacy of SQL queries. Using 8.1 million real-world queries, we conduct an empirical study.

It is proved that elastic sensitivity is an upper bound on local sensitivity and can therefore be used to enforce differential privacy using any local ...

Covers wide range of use cases: fraud detection, marketing, business metrics, etc. • Goal: identify DP requirements for real-world workload. Page 7. Empirical ...

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Jul 13, 2017 · Today, we are excited to share a tool developed in collaboration with these researchers to calculate Elastic Sensitivity for SQL queries.

Feb 25, 2018 · This paper contains a solid first step on the path of practical differentially private counting SQL queries.