2023
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Smajlović H, Shajii A, Berger B, Cho H, Numanagić I. Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing. Genome Biology 2023, 24: 5. PMID: 36631897, PMCID: PMC9832703, DOI: 10.1186/s13059-022-02841-5.Peer-Reviewed Original ResearchConceptsSecure multiparty computationHigh-performance frameworkMultiparty computationMPC applicationsSensitive biomedical dataRapid application developmentPython programming languageCompile-time optimizationBiomedical data sharingCryptographic toolsApplication developmentInvolved entitiesProgramming languageBioinformatics tasksData sharingBiomedical dataPrivate informationComputationFrameworkUsabilitySharingApplicationsSyntaxPerformanceTask
2020
Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs
Cho H, Simmons S, Kim R, Berger B. Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs. Cell Systems 2020, 10: 408-416.e9. PMID: 32359425, DOI: 10.1016/j.cels.2020.03.006.Peer-Reviewed Original ResearchConceptsDifferential privacySensitive individual-level dataFormal privacy guaranteesQuery-answering systemPrivacy-utility tradePrivacy guaranteesQuery answersCount queriesCohort discoveryDatabase queriesUtility functionUse casesProof of optimalityResearch workflowAggregate insightsBiomedical databasesAccuracy improvementPrivate informationQueriesPrivacyGeneral utility functionDatabaseMore general utility functionsNew theoretical resultsLookup