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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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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. |
format | Online Article Text |
id | pubmed-9832703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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