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KDD
2007
ACM
142views Data Mining» more  KDD 2007»
14 years 8 months ago
Towards Privacy-Preserving Model Selection
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
VLDB
2007
ACM
108views Database» more  VLDB 2007»
14 years 8 months ago
Time Series Compressibility and Privacy
In this paper we study the trade-offs between time series compressibility and partial information hiding and their fundamental implications on how we should introduce uncertainty ...
Spiros Papadimitriou, Feifei Li, George Kollios, P...
ICDT
2010
ACM
172views Database» more  ICDT 2010»
14 years 25 days ago
k-jump strategy for preserving privacy in micro-data disclosure
In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the ...
Wen Ming Liu, Lingyu Wang, Lei Zhang
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
14 years 9 months ago
Preservation Of Patterns and Input-Output Privacy
Abstract breaches. To do so, the data custodian needs to transform its data. To determine the appropriate transforPrivacy preserving data mining so far has mainly mation, there are...
Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng,...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
14 years 8 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...