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ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 6 months ago
Preserving Privacy in Social Networks Against Neighborhood Attacks
Recently, as more and more social network data has been published in one way or another, preserving privacy in publishing social network data becomes an important concern. With som...
Bin Zhou 0002, Jian Pei
VLDB
2007
ACM
138views Database» more  VLDB 2007»
13 years 11 months ago
Minimality Attack in Privacy Preserving Data Publishing
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, J...
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
13 years 3 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...
MOBICOM
2010
ACM
13 years 5 months ago
Privacy vulnerability of published anonymous mobility traces
Mobility traces of people and vehicles have been collected and published to assist the design and evaluation of mobile networks, such as large-scale urban sensing networks. Althou...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
WPES
2006
ACM
13 years 11 months ago
Private social network analysis: how to assemble pieces of a graph privately
Connections in distributed systems, such as social networks, online communities or peer-to-peer networks, form complex graphs. These graphs are of interest to scientists in field...
Keith B. Frikken, Philippe Golle