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

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. Se...

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Autores principales: Smajlović, Haris, Shajii, Ariya, Berger, Bonnie, Cho, Hyunghoon, Numanagić, Ibrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832703/
https://www.ncbi.nlm.nih.gov/pubmed/36631897
http://dx.doi.org/10.1186/s13059-022-02841-5
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author Smajlović, Haris
Shajii, Ariya
Berger, Bonnie
Cho, Hyunghoon
Numanagić, Ibrahim
author_facet Smajlović, Haris
Shajii, Ariya
Berger, Bonnie
Cho, Hyunghoon
Numanagić, Ibrahim
author_sort Smajlović, Haris
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02841-5.
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spelling pubmed-98327032023-01-12 Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing Smajlović, Haris Shajii, Ariya Berger, Bonnie Cho, Hyunghoon Numanagić, Ibrahim Genome Biol Software 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02841-5. BioMed Central 2023-01-11 /pmc/articles/PMC9832703/ /pubmed/36631897 http://dx.doi.org/10.1186/s13059-022-02841-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Smajlović, Haris
Shajii, Ariya
Berger, Bonnie
Cho, Hyunghoon
Numanagić, Ibrahim
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
title Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
title_full Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
title_fullStr Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
title_full_unstemmed Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
title_short Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
title_sort sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832703/
https://www.ncbi.nlm.nih.gov/pubmed/36631897
http://dx.doi.org/10.1186/s13059-022-02841-5
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