DocumentCode
114589
Title
Privacy: A few definitional aspects and consequences for minimax mean-squared error
Author
Barber, Rina Foygel ; Duchi, John
Author_Institution
Dept. of Stat., Univ. of Chicago, Chicago, IL, USA
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
1365
Lastpage
1369
Abstract
We explore several definitions of “privacy” in statistical estimation and data analysis. We present and review definitions that attempt to capture what, intuitively, it should mean to limit disclosures from the output of a statistical estimation task, providing minimax upper and lower bounds on mean squared error for estimation problems under several common (and some new) definitions of privacy.
Keywords
data analysis; data privacy; estimation theory; mean square error methods; minimax techniques; statistical analysis; data analysis; data privacy; minimax mean-squared error; statistical estimation; Computer science; Convergence; Data analysis; Data privacy; Estimation; Privacy; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
978-1-4799-7746-8
Type
conf
DOI
10.1109/CDC.2014.7039572
Filename
7039572
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