2023
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia
Ohno-Machado L, Jiang X, Kuo T, Tao S, Chen L, Ram P, Zhang G, Xu H. A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia. Journal Of Biomedical Informatics 2023, 139: 104322. PMID: 36806328, PMCID: PMC10975485, DOI: 10.1016/j.jbi.2023.104322.Peer-Reviewed Original ResearchConceptsPrivacy of individualsAppropriate privacy protectionData-driven modelsPrivacy protectionPrivacy risksData Coordination CenterData hubData repositoryHierarchical strategyPrivacyBiomedical discoveryData setsRecord linkageData Coordinating CenterRepositoryComplex strategiesCoordination centerTechnologyTechniqueDataPartiesSetHierarchy
2019
Protecting patient privacy in survival analyses
Bonomi L, Jiang X, Ohno-Machado L. Protecting patient privacy in survival analyses. Journal Of The American Medical Informatics Association 2019, 27: 366-375. PMID: 31750926, PMCID: PMC7025359, DOI: 10.1093/jamia/ocz195.Peer-Reviewed Original ResearchConceptsPrivacy protectionPrivacy risksHealthcare applicationsPatient privacyPrivacy protection methodProvable privacy protectionStrong privacy protectionPerson of interestKnowledgeable adversaryDifferential privacySynthetic datasetsFormal modelEpidemiology datasetPrivacyNonparametric survival modelFuture research directionsAdversaryResearch directionsDatasetBiomedical research applicationsFrameworkFrequent sharingResearch applicationsApplicationsSharing
2017
A community effort to protect genomic data sharing, collaboration and outsourcing
Wang S, Jiang X, Tang H, Wang X, Bu D, Carey K, Dyke S, Fox D, Jiang C, Lauter K, Malin B, Sofia H, Telenti A, Wang L, Wang W, Ohno-Machado L. A community effort to protect genomic data sharing, collaboration and outsourcing. Npj Genomic Medicine 2017, 2: 33. PMID: 29263842, PMCID: PMC5677972, DOI: 10.1038/s41525-017-0036-1.Peer-Reviewed Original ResearchGenomic data sharingData sharingSecure computation techniquesPrivacy-preserving techniquesPublic cloud servicesMagnitude performance improvementThird Critical AssessmentData outsourcingCloud servicesPrivacy challengesData privacyHuman genomic dataSecurity researchersPrivacy risksSensitive informationComputer privacyBeacon serviceBiomedical informaticistsSecurity concernsMemory requirementsCollaborative discoveryComputation techniquesComputational runtimePrivacyTrack 2
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
2011
Quantifying fine-grained privacy risk and representativeness in medical data
Jiang X, Cheng S, Ohno-Machado L. Quantifying fine-grained privacy risk and representativeness in medical data. 2011, 64-67. DOI: 10.1145/2023582.2023594.Peer-Reviewed Original Research