Improved primitives for secure multiparty integer computation

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Abstract

We consider a collection of related multiparty computation protocols that provide core operations for secure integer and fixed-point computation. The higher-level protocols offer integer truncation and comparison, which are typically the main performance bottlenecks in complex applications. We present techniques and building blocks that allow to improve the efficiency of these protocols, in order to meet the performance requirements of a broader range of applications. The protocols can be constructed using different secure computation methods. We focus on solutions for multiparty computation using secret sharing. © 2010 Springer-Verlag Berlin Heidelberg.

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Catrina, O., & De Hoogh, S. (2010). Improved primitives for secure multiparty integer computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6280 LNCS, pp. 182–199). https://doi.org/10.1007/978-3-642-15317-4_13

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