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Shechi: A Secure Distributed Computation Compiler Based on Multiparty Homomorphic Encryption

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Jan 2025Publisher:Zenodo
Authors: Smajlović, Haris; Froelicher, David; Shajii, Ariya; Berger, Bonnie; Cho, Hyunghoon; Numanagić, Ibrahim;

doi: 10.5281/zenodo.14868541 , 10.5281/zenodo.14724324 , 10.5281/zenodo.14862484 , 10.5281/zenodo.14724325 , 10.5281/zenodo.14724957 , 10.5281/zenodo.14725520

Shechi: A Secure Distributed Computation Compiler Based on Multiparty Homomorphic Encryption

Abstract

Sequre and Shechi are an end-to-end, statically compiled and performance engineered, Pythonic framework for building efficient, secure multiparty computation (MPC), homomorphic encryption (HE), and multiparty homomorphic encryption (MHE) pipelines in bioinformatics.

Related Organizations
Keywords

Privacy-enhancing technologies, Programming framework, Secure distributed computing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average