2022
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition
Kuo T, Jiang X, Tang H, Wang X, Harmanci A, Kim M, Post K, Bu D, Bath T, Kim J, Liu W, Chen H, Ohno-Machado L. The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. Journal Of The American Medical Informatics Association 2022, 29: 2182-2190. PMID: 36164820, PMCID: PMC9667175, DOI: 10.1093/jamia/ocac165.Peer-Reviewed Original ResearchConceptsSensitive personal informationGenomic data analysisPotential future research directionsPersonal informationSecurity concernsGenomics data repositoryData repositoryReport lessonsProtection techniquesFuture research directionsPrivacyResearch directionsData usePractical challengesGenomic dataData analysisAnonymizationCommunity effortsRepositorySecurityBiomedical researchInformationDataChallenges
2012
A randomized response model for privacy-preserving data dissemination
Jiang X, Wang S, Ji Z, Ohno-Machado L, Xiong L. A randomized response model for privacy-preserving data dissemination. 2012, 1: 138-138. DOI: 10.1109/hisb.2012.63.Peer-Reviewed Original ResearchPrivacy protectionPrivacy-preserving data disseminationDifferential privacy guaranteeData dissemination mechanismStrong privacy protectionData receiverSensitive personal informationReal-world datasetsPrivacy guaranteesDifferential privacyData disseminationPrivacy risksData usabilityPerturbed dataPersonal informationMedical dataClassification accuracyInformation lossDissemination mechanismImproper disclosureIdentity mappingBig concernExperimental resultsRecovery procedurePatient records