Secure multiparty computation for privacy preserving data mining
Y Lindell - Encyclopedia of Data Warehousing and Mining, 2005 - igi-global.com
The increasing use of data-mining tools in both the public and private sectors raises
concerns regarding the potentially sensitive nature of much of the data being mined. The …
concerns regarding the potentially sensitive nature of much of the data being mined. The …
[PDF][PDF] Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - pdfs.semanticscholar.org
In this paper, we survey the basic paradigms and notions of secure multiparty computation
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
[PDF][PDF] Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - 2008 - Citeseer
In this paper, we survey the basic paradigms and notions of secure multiparty computation
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - Journal of Privacy and …, 2009 - journalprivacyconfidentiality.org
In this paper, we survey the basic paradigms and notions of secure multiparty computation
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
[PDF][PDF] Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - 2008 - scholar.archive.org
In this paper, we survey the basic paradigms and notions of secure multiparty computation
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
[PDF][PDF] Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - luca-giuzzi.unibs.it
In this paper, we survey the basic paradigms and notions of secure multiparty computation
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - Cryptology ePrint Archive, 2008 - eprint.iacr.org
In this paper, we survey the basic paradigms and notions of secure multiparty computation
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
[PDF][PDF] Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - 2008 - u.cs.biu.ac.il
In this paper, we survey the basic paradigms and notions of secure multiparty computation
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - Journal of Privacy and Confidentiality, 2009 - cir.nii.ac.jp
抄録< jats: p> In this paper, we survey the basic paradigms and notions of secure multiparty
computation and discuss their relevance to the field of privacy-preserving data mining. In …
computation and discuss their relevance to the field of privacy-preserving data mining. In …
[PDF][PDF] Secure Multiparty Computation for Privacy-Preserving Data Mining
Y Lindell, B Pinkas - cs.bilkent.edu.tr
In this paper, we survey the basic paradigms and notions of secure multiparty computation
and discuss their relevance to the field of privacy-preserving data mining. In addition to …
and discuss their relevance to the field of privacy-preserving data mining. In addition to …