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pro vyhledávání: '"Shrestha, Ruchit"'
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy
Autor:
Berghel, Skye, Bohannon, Philip, Desfontaines, Damien, Estes, Charles, Haney, Sam, Hartman, Luke, Hay, Michael, Machanavajjhala, Ashwin, Magerlein, Tom, Miklau, Gerome, Pai, Amritha, Sexton, William, Shrestha, Ruchit
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.
Externí odkaz:
http://arxiv.org/abs/2212.04133
Despite being raised as a problem over ten years ago, the imprecision of floating point arithmetic continues to cause privacy failures in the implementations of differentially private noise mechanisms. In this paper, we highlight a new class of vulne
Externí odkaz:
http://arxiv.org/abs/2207.13793
Router configuration errors are unfortunately common and difficult to localize using current network verifiers. We introduce a novel configuration error localizer (CEL) that precisely identifies which configuration segments contribute to the violatio
Externí odkaz:
http://arxiv.org/abs/2204.10785