The Laplace Mechanism has optimal utility for differential privacy over continuous queries

Differential Privacy protects individuals' data when statistical queries are published from aggregated databases: applying "obfuscating" mechanisms to the query results makes the released information less specific but, unavoidably, also decreases its utility. Yet it has been shown tha...

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Vydané v:	Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science s. 1 - 12
Hlavní autori:	Fernandes, Natasha, McIver, Annabelle, Morgan, Carroll
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 29.06.2021
Predmet:	abstract channels Computer science Differential privacy hyper-distributions Laplace mechanism optimal mechanisms quantitative information flow utility
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