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dc.contributor.authorDegue, Kwassi H
dc.contributor.authorGopalakrishnan, Karthik
dc.contributor.authorLi, Max Z
dc.contributor.authorBalakrishnan, Hamsa
dc.date.accessioned2022-09-06T16:53:41Z
dc.date.available2022-09-06T16:53:41Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/145269
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/CDC45484.2021.9683118en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleDifferentially Private Outlier Detection in Correlated Dataen_US
dc.typeArticleen_US
dc.identifier.citationDegue, Kwassi H, Gopalakrishnan, Karthik, Li, Max Z and Balakrishnan, Hamsa. 2021. "Differentially Private Outlier Detection in Correlated Data." 2021 60th IEEE Conference on Decision and Control (CDC).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.relation.journal2021 60th IEEE Conference on Decision and Control (CDC)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-09-06T16:22:13Z
dspace.orderedauthorsDegue, KH; Gopalakrishnan, K; Li, MZ; Balakrishnan, Hen_US
dspace.date.submission2022-09-06T16:22:15Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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