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dc.contributor.authorAshok, Maitreyi
dc.contributor.authorTurner, Matthew
dc.contributor.authorWalsworth, Ronald
dc.contributor.authorLevine, Edlyn
dc.contributor.authorChandrakasan, Anantha
dc.date.accessioned2022-11-16T14:16:25Z
dc.date.available2022-11-16T14:16:25Z
dc.date.issued2022-10-13
dc.identifier.issn1550-4832
dc.identifier.urihttps://hdl.handle.net/1721.1/146495
dc.publisherACMen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/3531010en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACMen_US
dc.titleHardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Imagesen_US
dc.typeArticleen_US
dc.identifier.citationAshok, Maitreyi, Turner, Matthew, Walsworth, Ronald, Levine, Edlyn and Chandrakasan, Anantha. 2022. "Hardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images." Journal on Emerging Technologies in Computing Systems.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalJournal on Emerging Technologies in Computing Systemsen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-11-03T12:43:44Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-11-03T12:43:45Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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