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dc.contributor.authorSivasubramaniam, Harry
dc.date.accessioned2022-01-13 17:32:08 (GMT)
dc.date.available2022-01-13 17:32:08 (GMT)
dc.date.issued2022-01-13
dc.date.submitted2021-12-06
dc.identifier.urihttp://hdl.handle.net/10012/17876
dc.description.abstractDatabase operations are often performed in batch mode, i.e. the analyst issuing the query must wait till the database has been processed in its entirety before getting feedback. Batch mode is inadequate for large databases since queries can take several hours to process and often an analyst is satisfied with an approximation. Online aggregation greatly improves user experience and saves resources by providing continuous feedback through running confidence intervals. Further, it provides an interface for users to terminate early and allocate resources elsewhere once a sufficient accuracy level has been achieved. Until now, online aggregation has not been studied in a differentially private setting. In this work, we formulate differentially private online aggregation such that it captures the trade-offs between privacy, accuracy, and usability. Further, we develop a family of differentially private mechanisms, which includes our optimal Gap mechanisms, for answering AVG, COUNT, and SUM queries with WHERE conditions. Also, we develop various optimizations to improve the accuracy of the Gap mechanism and empirically confirm that the Gap mechanisms preform the best overall.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectDifferential Privacyen
dc.subjectOnline Aggregationen
dc.subjectDatabaseen
dc.titleDifferentially Private Online Aggregationen
dc.typeMaster Thesisen
dc.pendingfalse
uws-etd.degree.departmentDavid R. Cheriton School of Computer Scienceen
uws-etd.degree.disciplineComputer Scienceen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.degreeMaster of Mathematicsen
uws-etd.embargo.terms0en
uws.contributor.advisorHe, Xi
uws.contributor.affiliation1Faculty of Mathematicsen
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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