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» On the Geometry of Differential Privacy
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ICIP
2010
IEEE
14 years 10 months ago
OmniSIFT: Scale invariant features in omnidirectional images
We propose a method to compute scale invariant features in omnidirectional images. We present a formulation based on Riemannian geometry for the definition of differential operato...
Zafer Arican, Pascal Frossard
INFOCOM
2012
IEEE
13 years 3 months 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...
80
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ACMICEC
2007
ACM
115views ECommerce» more  ACMICEC 2007»
15 years 4 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
CG
2002
Springer
15 years 15 days ago
Robust adaptive polygonal approximation of implicit curves
We present an algorithm for computing a robust adaptive polygonal approximation of an implicit curve in the plane. The approximation is adapted to the geometry of the curve because...
Hélio Lopes, João Batista S. de Oliv...
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
15 years 7 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