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

Author:

Smajlović Haris,Shajii Ariya,Berger Bonnie,Cho Hyunghoon,Numanagić IbrahimORCID

Abstract

AbstractSecure 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.

Funder

NSERC Discovery and CRC

NIH R01

NIH DP5

Publisher

Springer Science and Business Media LLC

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Privacy-preserving techniques for decentralized and secure machine learning in drug discovery;Drug Discovery Today;2023-12

2. Treating a different kind of patient: curing security weaknesses in digital health systems of the future;2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI);2023-06-08

3. Codon: A Compiler for High-Performance Pythonic Applications and DSLs;Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction;2023-02-17

4. GPU Cloud Architectures for Bioinformatic Applications;Bioinformatics and Biomedical Engineering;2023

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