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GRC
2008
IEEE
9 years 3 months ago
Towards Real-time Performance of Data Value Hiding for Frequent Data Updates
Hiding data values in privacy-preserving data mining (PPDM) protects information against unauthorized attacks while maintaining analytical data properties. The most popular models...
Jie Wang, Justin Zhan, Jun Zhang
ICEB
2004
175views Business» more  ICEB 2004»
9 years 3 months ago
Privacy-Preserving Data Mining in Electronic Surveys
Electronic surveys are an important resource in data mining. However, how to protect respondents' data privacy during the survey is a challenge to the security and privacy co...
Justin Z. Zhan, Stan Matwin
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
9 years 3 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
PAKDD
2010
ACM
182views Data Mining» more  PAKDD 2010»
9 years 6 months ago
Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation
In this paper, we focus our attention on the problem of computing the ratio of two numbers, both of which are the summations of the private numbers distributed in different parties...
Bin Yang, Hiroshi Nakagawa
KDD
2010
ACM
203views Data Mining» more  KDD 2010»
9 years 6 months ago
Collusion-resistant privacy-preserving data mining
Recent research in privacy-preserving data mining (PPDM) has become increasingly popular due to the wide application of data mining and the increased concern regarding the protect...
Bin Yang, Hiroshi Nakagawa, Issei Sato, Jun Sakuma
WPES
2003
ACM
9 years 7 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
SDMW
2004
Springer
9 years 7 months ago
Experimental Analysis of Privacy-Preserving Statistics Computation
The recent investigation of privacy-preserving data mining and other kinds of privacy-preserving distributed computation has been motivated by the growing concern about the privacy...
Hiranmayee Subramaniam, Rebecca N. Wright, Zhiqian...
CIS
2005
Springer
9 years 8 months ago
An Improved EMASK Algorithm for Privacy-Preserving Frequent Pattern Mining
Abstract. As a novel research direction, privacy-preserving data mining (PPDM) has received a great deal of attentions from more and more researchers, and a large number of PPDM al...
Congfu Xu, Jinlong Wang, Hongwei Dan, Yunhe Pan
PAKDD
2007
ACM
181views Data Mining» more  PAKDD 2007»
9 years 8 months ago
Practical Issues on Privacy-Preserving Health Data Mining
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
Huidong Jin
PAKDD
2007
ACM
130views Data Mining» more  PAKDD 2007»
9 years 8 months ago
Deriving Private Information from Arbitrarily Projected Data
Distance-preserving projection based perturbation has gained much attention in privacy-preserving data mining in recent years since it mitigates the privacy/accuracy tradeoff by ac...
Songtao Guo, Xintao Wu
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