Practical protocol for Yao’s millionaires problem enables secure multi-party computation of metrics and efficient privacy-preserving k-NN for large data sets-Reference-Cited by-同舟云学术

Practical protocol for Yao’s millionaires problem enables secure multi-party computation of metrics and efficient privacy-preserving k-NN for large data sets

Published:2009-07-17 Issue:3 Volume:21 Page:327-363
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Amirbekyan Artak,Estivill-Castro Vladimir

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-009-0233-z.pdf

Reference64 articles.

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2. Amirbekyan A, Estivill-Castro V (2007) The privacy of k-NN retrieval for horizontal partitioned data—new methods and applications. In: Bailey J, Fekete A (eds) Eighteenth Australasian database conference (ADC2007). Conferences in research and practice in information technology (CRPIT), CORE, Australasian Computer Society, Ballarat, Victoria, Australia, pp 33–42

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4. Ankerst M, Kriegel H, Seidl T (1998) A multi-step approach for shape similarity in image databases. IEEE Trans Data Eng 10(6): 996–1004

5. Arya S, Mount DM, Netanyahu NS, Silverman R, Wu AY (1994) An optimal algorithm for approximate nearest neighbor searching. In: 5th annual ACM-SIAM symposium on discrete algorithms, pp 573–582

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