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FSTTCS
2009
Springer
15 years 4 months ago
Functionally Private Approximations of Negligibly-Biased Estimators
ABSTRACT. We study functionally private approximations. An approximation function g is functionally private with respect to f if, for any input x, g(x) reveals no more information ...
André Madeira, S. Muthukrishnan
STOC
2001
ACM
119views Algorithms» more  STOC 2001»
15 years 9 months ago
Private approximation of NP-hard functions
d Abstract] Shai Halevi Robert Krauthgamer Eyal Kushilevitz Kobbi Nissim ? The notion of private approximation was introduced recently by Feigenbaum, Fong, Strauss and Wright. Inf...
Shai Halevi, Robert Krauthgamer, Eyal Kushilevitz,...
ICALP
2007
Springer
15 years 3 months ago
Private Multiparty Sampling and Approximation of Vector Combinations
We consider the problem of private efficient data mining of vertically-partitioned databases. Each of several parties holds a column of a data matrix (a vector) and the parties wan...
Yuval Ishai, Tal Malkin, Martin J. Strauss, Rebecc...
SODA
2010
ACM
174views Algorithms» more  SODA 2010»
14 years 7 months ago
Differentially Private Combinatorial Optimization
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
ACSC
2009
IEEE
15 years 4 months ago
Microdata Protection Through Approximate Microaggregation
Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online...
Xiaoxun Sun, Hua Wang, Jiuyong Li