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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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    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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    SIGKDD
    2002
    93views more  SIGKDD 2002»
    Randomization in Privacy-Preserving Data Mining
    13 years 9 months ago
    Randomization in Privacy-Preserving Data Mining
    Download  www.cs.cornell.edu
    Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...
    Alexandre V. Evfimievski
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