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    SDM
    2008
    SIAM
    135views Data Mining» more  SDM 2008»
    Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
    13 years 11 months ago
    Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
    Download  siam.org
    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
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    PKDD
    2007
    Springer
    214views Data Mining» more  PKDD 2007»
    Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework
    14 years 3 months ago
    Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework
    Download  www.almaden.ibm.com
    Abstract. Analysis of privacy-sensitive data in a multi-party environment often assumes that the parties are well-behaved and they abide by the protocols. Parties compute whatever ...
    Hillol Kargupta, Kamalika Das, Kun Liu
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    13 years 11 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
    Yitao Duan, John F. Canny
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    PSD
    2004
    Springer
    186views Database» more  PSD 2004»
    Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
    14 years 3 months ago
    Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
    Download  www.dsi.uniroma1.it
    In an on-line statistical database, the query-answering system should prevent answers to statistical queries from leading to disclosure of confidential data. On the other hand, a s...
    Francesco M. Malvestuto, Mauro Mezzini
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    KDD
    2007
    ACM
    191views Data Mining» more  KDD 2007»
    Privacy-Preserving Data Mining through Knowledge Model Sharing
    14 years 10 months ago
    Privacy-Preserving Data Mining through Knowledge Model Sharing
    Download  www.cs.utsa.edu
    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...
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