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Vladimir Estivill-Castro (Selection)

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78Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLArtak Amirbekyan, Vladimir Estivill-Castro: Practical protocol for Yao's millionaires problem enables secure multi-party computation of metrics and efficient privacy-preserving k-NN for large data sets. Knowl. Inf. Syst. 21(3): 327-363 (2009)
76Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLArtak Amirbekyan, Vladimir Estivill-Castro: The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications. ADC 2007: 33-42
75Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLArtak Amirbekyan, Vladimir Estivill-Castro: A New Efficient Privacy-Preserving Scalar Product Protocol. AusDM 2007: 209-214
74Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLArtak Amirbekyan, Vladimir Estivill-Castro: Privacy-Preserving k-NN for Small and Large Data Sets. ICDM Workshops 2007: 699-704
69Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLArtak Amirbekyan, Vladimir Estivill-Castro: Privacy Preserving DBSCAN for Vertically Partitioned Data. ISI 2006: 141-153

Selection of 5 from 91 records - Vladimir Estivill-Castro has 52 coauthors

Last update 2012-09-10 CET by the DBLP TeamThis material is Open Data Content released under the ODC-BY 1.0 license — See also our legal information page