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PVLDB
2010
95views more  PVLDB 2010»
14 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
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
15 years 4 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»
14 years 11 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»
15 years 7 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 4 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...