Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy

Skye Berghel,Philip Bohannon,Damien Desfontaines,Charles Estes,Sam Haney,Luke Hartman,Michael Hay,Ashwin Machanavajjhala,Tom Magerlein,Gerome Miklau,Amritha Pai,William Sexton,Ruchit Shrestha

arxiv（2022）

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摘要

In this short paper, we outline the design of Tumult Analytics, a Python framework for differential privacy used at institutions such as the U.S. Census Bureau, the Wikimedia Foundation, or the Internal Revenue Service.

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关键词

tumult analytics,privacy,scalable,easy-to-use

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