The Optimal Noise-Adding Mechanism in Differential Privacy

Differential privacy is a framework to quantify to what extent individual privacy in a statistical database is preserved while releasing useful aggregate information about the database. In this paper, within the classes of mechanisms oblivious of the database and the queriesqueries beyond the global...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on information theory Ročník 62; číslo 2; s. 925 - 951
Hlavní autori:	Quan Geng, Viswanath, Pramod
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Asymptotic properties Context Data privacy Density Information theory Laplace equations Noise Optimization Privacy Probability Probability distribution Queries randomized algorithm Sensitivity Staircases Data privacy randomized algorithm
ISSN:	0018-9448, 1557-9654
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!