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» Boosting and Differential Privacy
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OOPSLA
2005
Springer
14 years 3 months ago
Lifting sequential graph algorithms for distributed-memory parallel computation
This paper describes the process used to extend the Boost Graph Library (BGL) for parallel operation with distributed memory. The BGL consists of a rich set of generic graph algor...
Douglas Gregor, Andrew Lumsdaine
INFOCOM
2012
IEEE
12 years 2 days ago
Location privacy preservation in collaborative spectrum sensing
—Collaborative spectrum sensing has been regarded as a promising approach to enable secondary users to detect primary users by exploiting spatial diversity. In this paper, we con...
Shuai Li, Haojin Zhu, Zhaoyu Gao, Xinping Guan, Ka...
ACMICEC
2007
ACM
115views ECommerce» more  ACMICEC 2007»
14 years 1 months ago
An economic model of portal competition under privacy concerns
Due to inherent privacy concerns, online personalization services such as those offered through toolbars and desktop widgets are characterized by "no-free-disposal" (NFD...
Ramnath K. Chellappa, Raymond G. Sin
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
14 years 4 months ago
Accurate Estimation of the Degree Distribution of Private Networks
—We describe an efficient algorithm for releasing a provably private estimate of the degree distribution of a network. The algorithm satisfies a rigorous property of differenti...
Michael Hay, Chao Li, Gerome Miklau, David Jensen
CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 4 months ago
Distributed Private Data Analysis: On Simultaneously Solving How and What
We examine the combination of two directions in the field of privacy concerning computations over distributed private inputs – secure function evaluation (SFE) and differential...
Amos Beimel, Kobbi Nissim, Eran Omri