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Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing

delete2023-01-11
delete7
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OA
AI
H
Haris Smajlović
A
Ariya Shajii
B
Bonnie Berger *
H
Hyunghoon Cho *
I
Ibrahim Numanagić *
DOI:10.1186/s13059-022-02841-5delete
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Abstract

Abstract

En 中文
Secure multiparty computation (MPC) is a cryptographic tool that allows computation on top of sensitive biomedical data without revealing private information to the involved entities. Here, we introduce Sequre, an easy-to-use, high-performance framework for developing performant MPC applications. Sequre offers a set of automatic compile-time optimizations that significantly improve the performance of MPC applications and incorporates the syntax of Python programming language to facilitate rapid application development. We demonstrate its usability and performance on various bioinformatics tasks showing up to 3-4 times increased speed over the existing pipelines with 7-fold reductions in codebase sizes.
Keywords:
Genomic privacy
Secure multiparty computation
Domain-specific language
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

G
Genome Biology
IF:
9.4
Papers:
6.3K
Citations:
7.3W

Organization

H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W
U
University of Victoria
Scholars:
1.0W
Papers: 1.0W
Citations: 1.5W