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EDBT
2009
ACM
122views Database» more  EDBT 2009»
14 years 2 months ago
Hiding distinguished ones into crowd: privacy-preserving publishing data with outliers
Publishing microdata raises concerns of individual privacy. When there exist outlier records in the microdata, the distinguishability of the outliers enables their privacy to be e...
Hui (Wendy) Wang, Ruilin Liu
ECCV
2008
Springer
13 years 11 months ago
Scene Segmentation Using the Wisdom of Crowds
Given a collection of images of a static scene taken by many different people, we identify and segment interesting objects. To solve this problem, we use the distribution of images...
Ian Simon, Steven M. Seitz
ASWC
2009
Springer
13 years 11 months ago
Merging and Ranking Answers in the Semantic Web: The Wisdom of Crowds
In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
Vanessa Lopez, Andriy Nikolov, Miriam Ferná...
MOBIHOC
2010
ACM
13 years 7 months ago
Globs in the primordial soup: the emergence of connected crowds in mobile wireless networks
In many practical scenarios, nodes gathering at points of interest yield sizable connected components (clusters), which sometimes comprise the majority of nodes. While recent anal...
Simon Heimlicher, Kavé Salamatian
CRYPTO
2012
Springer
241views Cryptology» more  CRYPTO 2012»
12 years 9 days ago
Crowd-Blending Privacy
We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...