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Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing.
Smajlovic, Haris; Shajii, Ariya; Berger, Bonnie; Cho, Hyunghoon; Numanagic, Ibrahim.
Afiliación
  • Smajlovic H; Department of Computer Science, University of Victoria, Victoria, BC, Canada.
  • Shajii A; CSAIL, MIT, Cambridge, MA, USA.
  • Berger B; CSAIL, MIT, Cambridge, MA, USA. bab@mit.edu.
  • Cho H; Broad Institute of MIT and Harvard, Cambridge, MA, USA. hhcho@broadinstitute.org.
  • Numanagic I; Department of Computer Science, University of Victoria, Victoria, BC, Canada. inumanag@uvic.ca.
Genome Biol ; 24(1): 5, 2023 01 11.
Article en En | MEDLINE | ID: mdl-36631897
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Difusión de la Información Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Difusión de la Información Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Canadá