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IEEEIAS
2007
IEEE
14 years 4 months ago
A Purpose-Based Access Control Model
: Achieving privacy preservation in a data-sharing computing environment is becoming a challenging problem. Some organisations may have published privacy policies, which promise pr...
Naikuo Yang, Howard Barringer, Ning Zhang
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 10 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
PVLDB
2010
95views more  PVLDB 2010»
13 years 8 months ago
Small Domain Randomization: Same Privacy, More Utility
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
Rhonda Chaytor, Ke Wang
ICDE
2012
IEEE
221views Database» more  ICDE 2012»
12 years 15 days ago
DPCube: Releasing Differentially Private Data Cubes for Health Information
—We demonstrate DPCube, a component in our Health Information DE-identification (HIDE) framework, for releasing differentially private data cubes (or multi-dimensional histogram...
Yonghui Xiao, James J. Gardner, Li Xiong
ICDE
2007
IEEE
1577views Database» more  ICDE 2007»
15 years 9 months ago
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to...
Ninghui Li, Tiancheng Li, Suresh Venkatasubramania...