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» From Data Privacy to Location Privacy: Models and Algorithms
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ISMIS
2005
Springer
15 years 3 months ago
Statistical Database Modeling for Privacy Preserving Database Generation
Abstract. Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively fe...
Xintao Wu, Yongge Wang, Yuliang Zheng
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
14 years 11 months ago
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Shuguo Han, Wee Keong Ng
86
Voted
GVD
2009
108views Database» more  GVD 2009»
14 years 7 months ago
Privacy Challenges for Database Systems
Over the last years the means to collect personal data implicitly or explicitly over the Web and by various kinds of sensors and to combine data for profiling individuals has dram...
Johann Christoph Freytag
WPES
2006
ACM
15 years 3 months ago
A study on the value of location privacy
This paper introduces results of a study into the value of location privacy for individuals using mobile devices. We questioned a sample of over 1200 people from five EU countrie...
Daniel Cvrcek, Marek Kumpost, Vashek Matyas, Georg...
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
15 years 10 months ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff