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» Probabilistic Inference Protection on Anonymized Data
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PERVASIVE
2009
Springer
14 years 2 days 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
EDBT
2009
ACM
122views Database» more  EDBT 2009»
13 years 10 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
SIGMOD
2008
ACM
189views Database» more  SIGMOD 2008»
14 years 5 months ago
Dynamic anonymization: accurate statistical analysis with privacy preservation
A statistical database (StatDB) retrieves only aggregate results, as opposed to individual tuples. This paper investigates the construction of a privacy preserving StatDB that can...
Xiaokui Xiao, Yufei Tao
CORR
2012
Springer
227views Education» more  CORR 2012»
12 years 1 months ago
Trajectory and Policy Aware Sender Anonymity in Location Based Services
We consider Location-based Service (LBS) settings, where a LBS provider logs the requests sent by mobile device users over a period of time and later wants to publish/share these ...
Alin Deutsch, Richard Hull, Avinash Vyas, Kevin Ke...
SSDBM
2007
IEEE
105views Database» more  SSDBM 2007»
13 years 11 months ago
Maintaining K-Anonymity against Incremental Updates
K-anonymity is a simple yet practical mechanism to protect privacy against attacks of re-identifying individuals by joining multiple public data sources. All existing methods achi...
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang 0009, Ke ...