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PVLDB
2010
95views more  PVLDB 2010»
15 years 2 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
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
15 years 11 months ago
Accurate Estimation of the Degree Distribution of Private Networks
—We describe an efficient algorithm for releasing a provably private estimate of the degree distribution of a network. The algorithm satisfies a rigorous property of differenti...
Michael Hay, Chao Li, Gerome Miklau, David Jensen
FSKD
2008
Springer
136views Fuzzy Logic» more  FSKD 2008»
15 years 5 months ago
k-Anonymity via Clustering Domain Knowledge for Privacy Preservation
Preservation of privacy in micro-data release is a challenging task in data mining. The k-anonymity method has attracted much attention of researchers. Quasiidentifier is a key co...
Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, She...
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 1 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
SP
2006
IEEE
15 years 10 months ago
Deterring Voluntary Trace Disclosure in Re-encryption Mix Networks
An all too real threat to the privacy offered by a mix network is that individual mix administrators may volunteer partial tracing information to a coercer. While this threat can ...
Philippe Golle, XiaoFeng Wang, Markus Jakobsson, A...