Differential Privacy: The Pursuit of Protections by Default

Autor:	Miguel Guevara, Terry Coatta, James H. Waldo, Damien Desfontaines
Rok vydání:	2020
Předmět:	General Computer Science Computer science business.industry Internet privacy ComputingMilieux_COMPUTERSANDSOCIETY Differential privacy Census business
Zdroj:	Queue. 18:93-112
ISSN:	1542-7749 1542-7730
DOI:	10.1145/3434571.3439229
Popis:	First formalized in 2006, differential privacy is an approach based on a mathematically rigorous definition of privacy that allows formalization and proof of the guarantees against re-identification offered by a system. While differential privacy has been accepted by theorists for some time, its implementation has turned out to be subtle and tricky, with practical applications only now starting to become available. To date, differential privacy has been adopted by the U.S. Census Bureau, along with a number of technology companies, but what this means and how these organizations have implemented their systems remains a mystery to many.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ae38d906b5552c68448ffc7f9fa3d969 https://doi.org/10.1145/3434571.3439229 Zobrazit plný text záznamu