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dc.contributor.advisorMadden, Samuel
dc.contributor.advisorCao, Lei
dc.contributor.authorXu, Helen J.
dc.date.accessioned2022-08-29T15:55:46Z
dc.date.available2022-08-29T15:55:46Z
dc.date.issued2022-05
dc.date.submitted2022-05-27T16:18:35.269Z
dc.identifier.urihttps://hdl.handle.net/1721.1/144558
dc.description.abstractData privacy is a fundamental ethical goal. We must aim for innovating without exploiting. In order to provide formal privacy guarantees, differential privacy has been the central method of implementing database privacy. However, there are many barriers to widespread adoption. General methods lack accuracy and more innovative methods lack applicability beyond a specific kind of data or query. This project aims to create an effective differentially private system that provides an identical user experience to using raw data and redefines utility in database privacy to focus on the user experience.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright MIT
dc.rights.urihttp://rightsstatements.org/page/InC-EDU/1.0/
dc.titleA Universally Applicable Differential Privacy System: Redefining Utility in Database Privacy to Prioritize User Experience
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


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