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2022-12-08
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy
Skye BerghelPhilip BohannonDamien DesfontainesCharles EstesSam HaneyLuke HartmanMichael HayAshwin MachanavajjhalaTom MagerleinGerome MiklauAmritha PaiWilliam SextonRuchit Shrestha
文献摘要
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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