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» Protecting location privacy against inference attacks
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PERVASIVE
2009
Springer
15 years 4 months ago
On the Anonymity of Home/Work Location Pairs
Abstract. Many applications benefit from user location data, but location data raises privacy concerns. Anonymization can protect privacy, but identities can sometimes be inferred...
Philippe Golle, Kurt Partridge
ICDE
2010
IEEE
194views Database» more  ICDE 2010»
15 years 9 months ago
XColor: Protecting General Proximity Privacy
As a severe threat in anonymized data publication, proximity breach is gaining increasing attention. Such breach occurs when an attacker learns with high confidence that the sensit...
Ting Wang, Ling Liu
CCS
2007
ACM
15 years 3 months ago
Analyzing the vulnerability of superpeer networks against attack
In this paper, we develop an analytical framework to measure the vulnerability of superpeer networks against attack. Two different kinds of attacks namely deterministic and degre...
Bivas Mitra, Fernando Peruani, Sujoy Ghose, Niloy ...
SIGMOD
2011
ACM
179views Database» more  SIGMOD 2011»
14 years 7 days ago
No free lunch in data privacy
Differential privacy is a powerful tool for providing privacypreserving noisy query answers over statistical databases. It guarantees that the distribution of noisy query answers...
Daniel Kifer, Ashwin Machanavajjhala
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
14 years 7 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...