数据与模型安全 课件 第9周:隐私攻击和防御.pptx

数据与模型安全 课件 第9周:隐私攻击和防御.pptx

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PrivacyAttacksDefenses姜育刚,马兴军,吴祖煊SalvadorDalí,“ThePersistenceofMemory,”1931

Recap:week8DataExtractionAttackDefenseModelStealingAttackFutureResearch

ThisWeekMembershipInferenceAttackDifferentialPrivacy

MembershipInferenceAttackDifferentialPrivacy

MembershipInferenceAttack

MembershipInferenceAttack推理一个输入样本是否存在于训练数据集中Shokri,Reza,etal.Membershipinferenceattacksagainstmachinelearningmodels.?SP,2017.存在?

PrivacyandEthicalProblemsMIAcouldcausethefollowingharms:Leakprivateinfo:someonehasbeentosomeplaceorhavinganunspeakableillnessExposeinfoaboutthetrainingdataMIAsensitivityalsoindicatesdataleakagerisk

AnEarlyWorkHomer,Nils,etal.ResolvingindividualscontributingtraceamountsofDNAtohighlycomplexmixturesusinghigh-densitySNPgenotypingmicroarrays.?PLoSgenetics?4.8(2008):e1000167.判断个人基因是否出现在一个复杂的混合基因里可用于调查取证

MIA:TheMostWell-knownWorkShokri,Reza,etal.Membershipinferenceattacksagainstmachinelearningmodels.?SP,2017.0Black-boxattackpipelineNeedsprobabilityvector

MIA:TheMostWell-knownWorkShokri,Reza,etal.Membershipinferenceattacksagainstmachinelearningmodels.?SP,2017.TrainkshadowmodelsondisjointdatasetsSampleanumberofsubsetsfromDTrainamodeloneachofthesubsetTakeonemodelasthetargetTaketherestmodelsasshadowmodels

MIA:TheMostWell-knownWorkShokri,Reza,etal.Membershipinferenceattacksagainstmachinelearningmodels.?SP,2017.Differentwaystogetthetrainingdata:RandomSynthesisDatasynthesisPhase1:searchingforhighconfidencedatapointsinthedataspacePhase2:samplesyntheticdatafromthesepointsRepeattheaboveforeachclasscPhase1:每次只改变已找到的高置信度样本的k个特征

MIA:TheMostWell-knownWorkShokri,Reza,etal.Membershipinferenceattacksagainstmachinelearningmodels.?SP,2017.Statistics-basedsynthesisPriorknowledge:Themarginaldistributionw.r.t.eachclassPhase1:sampleaccordingtothestatistics

MIA:TheMostWe

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