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» Measuring Voter-Controlled Privacy
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116
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PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
15 years 8 months ago
Privacy Preserving Market Basket Data Analysis
Randomized Response techniques have been empirically investigated in privacy preserving association rule mining. However, previous research on privacy preserving market basket data...
Ling Guo, Songtao Guo, Xintao Wu
ISI
2007
Springer
15 years 8 months ago
A Combinatorial Approach to Measuring Anonymity
— In this paper we define a new metric for quantifying the degree of anonymity collectively afforded to users of an anonymous communication system. We show how our metric, based...
Matthew Edman, Fikret Sivrikaya, Bülent Yener
97
Voted
PET
2010
Springer
15 years 5 months ago
How Unique Is Your Web Browser?
We investigate the degree to which modern web browsers are subject to “device fingerprinting” via the version and configuration information that they will transmit to website...
Peter Eckersley
ISI
2008
Springer
15 years 1 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh
EDBT
2008
ACM
154views Database» more  EDBT 2008»
16 years 2 months ago
Data utility and privacy protection trade-off in k-anonymisation
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
Grigorios Loukides, Jianhua Shao