Abstract. We present a robust secure methodology for computing func- tions that are represented as multivariate polynomials where parties hold.
Secure Efficient Multiparty Computing of Multivariate Polynomials and ...
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Abstract. We present a robust secure methodology for computing functions that are represented as multivariate polynomials where parties hold different variables ...
Nov 21, 2024 · We present a robust secure methodology for computing functions that are represented as multivariate polynomials where parties hold different ...
Secure Efficient Multiparty Computing of Multivariate Polynomials and Applications ; Publication Type, Book Chapters ; Year of Publication, 2011 ; Authors, Dachman ...
Abstract: We present a robust secure methodology for computing functions that are represented as multivariate polynomials where parties hold different ...
We present a robust secure methodology for computing functions that are represented as multivariate polynomials where parties hold different.
We consider the problem of secure multiparty computation of the class of functions that can be represented by polynomial-sized multivariate polynomials. The ...
Secure Efficient Multiparty Computing of Multivariate Polynomials and Applications ... multivariate polynomials. Improvement of generic complexity for ...
– This is very efficient. This is a new model and way to employ many of interesting multiparty problems securely.
This paper describes efficient algorithms for computing the Discrete Fourier Transform, multiplication, division, and multipoint evaluation on encrypted ...