2016
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
Chen F, Wang S, Jiang X, Ding S, Lu Y, Kim J, Sahinalp S, Shimizu C, Burns J, Wright V, Png E, Hibberd M, Lloyd D, Yang H, Telenti A, Bloss C, Fox D, Lauter K, Ohno-Machado L. PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinformatics 2016, 33: 871-878. PMID: 28065902, PMCID: PMC5860394, DOI: 10.1093/bioinformatics/btw758.Peer-Reviewed Original ResearchConceptsSoftware Guard ExtensionsHomomorphic encryptionDistributed ComputationCollaboration frameworkTrustworthy computationCollaboration modelSupplementary dataNetwork collaborationEncryptionExperimental resultsHealth informationAlternative solutionComputationInternational collaboration frameworkHardwareAccurate analysisPerformanceBioinformaticsImplementationFrameworkDataExtensionInformationCollaborationSecure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE)
Shi H, Jiang C, Dai W, Jiang X, Tang Y, Ohno-Machado L, Wang S. Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Medical Informatics And Decision Making 2016, 16: 89. PMID: 27454168, PMCID: PMC4959358, DOI: 10.1186/s12911-016-0316-1.Peer-Reviewed Original ResearchConceptsData sharingPatient privacySecure multi-party computationModel learning phaseMulti-party computationBiomedical data sharingInformation leakageModel learningIntermediary informationInformation exchangeSecondary usePrivacyBig concernPractical solutionLogistic regression frameworkExperimental resultsSharingRegression frameworkFrameworkMultiple institutionsPrevious workComputationLearningBiomedical researchInformation
2013
EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning
Wang S, Jiang X, Wu Y, Cui L, Cheng S, Ohno-Machado L. EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning. Journal Of Biomedical Informatics 2013, 46: 480-496. PMID: 23562651, PMCID: PMC3676314, DOI: 10.1016/j.jbi.2013.03.008.Peer-Reviewed Original ResearchConceptsHigh-level guaranteesOnline model learningSensitive informationModel learningEntire dataOnline learningAbsence of participantsMore flexibilitySame performanceExperimental resultsLearningCommunicationServerInformationGuaranteesModel updatingPosterior distributionServicesClientsUpdatingFrameworkFlexibilityModelPerformance
2012
Privacy-preserving heterogeneous health data sharing
Mohammed N, Jiang X, Chen R, Fung B, Ohno-Machado L. Privacy-preserving heterogeneous health data sharing. Journal Of The American Medical Informatics Association 2012, 20: 462-469. PMID: 23242630, PMCID: PMC3628047, DOI: 10.1136/amiajnl-2012-001027.Peer-Reviewed Original ResearchConceptsSet-valued dataDifferential privacyNoise additionPrivacy-preserving mannerAdversary's background knowledgeStrong privacy guaranteesBackground knowledgeHealth data sharingPrivacy modelPrivacy guaranteesSensitive dataData sharingHealthcare dataPrivate mannerAlgorithm designPrivacyRaw dataSynthetic dataAlgorithmHealth dataProbabilistic wayDiscriminative analysisExperimental resultsUseful informationClassification analysisPrivacy-preserving Biometric System for Secure Fingerprint Authentication
Wang S, Jiang X, Ohno-Machado L, Cui L, Cheng S, Xiong H. Privacy-preserving Biometric System for Secure Fingerprint Authentication. 2012, 1: 128-128. DOI: 10.1109/hisb.2012.53.Peer-Reviewed Original ResearchSecure Fingerprint AuthenticationBiometric systemsFingerprint authenticationElectronic health recordsPrivacy-preserving mannerSecure biometric systemsHigh authentication accuracySlepian-Wolf codesRe-identify individualsAuthentication systemSensitive informationAuthentication accuracyBiometric featuresMobile devicesResearch Data RepositoryPersonal privacyBiometricsData repositoryAuthenticationHealth recordsPrivacyExperimental resultsSuch informationImportant concernAttackerA 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 recordsPredicting accurate probabilities with a ranking loss.
Menon A, Jiang X, Vembu S, Elkan C, Ohno-Machado L. Predicting accurate probabilities with a ranking loss. Proceedings Of The ... International Conference On Machine Learning. 2012, 2012: 703-710. PMID: 25285328, PMCID: PMC4180410.Peer-Reviewed Original ResearchReal-world applicationsProbability distributionStatistical workhorseIsotonic regressionAccurate probabilityParticular classProbability predictionRegression performanceSemi-parametric techniquesRanking lossRich setBest rankingProbabilityExperimental resultsClassifierApplicationsMachineTechniqueClassSimple technique