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dc.contributor.authorSingh, Abhishek
dc.contributor.authorChopra, Ayush
dc.contributor.authorGarza, Ethan
dc.contributor.authorZhang, Emily
dc.contributor.authorVepakomma, Praneeth
dc.contributor.authorSharma, Vivek
dc.contributor.authorRaskar, Ramesh
dc.date.accessioned2022-11-17T18:26:10Z
dc.date.available2022-11-17T18:26:10Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/146534
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/CVPR46437.2021.01195en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleDISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networksen_US
dc.typeArticleen_US
dc.identifier.citationSingh, Abhishek, Chopra, Ayush, Garza, Ethan, Zhang, Emily, Vepakomma, Praneeth et al. 2021. "DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks." 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.relation.journal2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)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.updated2022-11-17T18:21:20Z
dspace.orderedauthorsSingh, A; Chopra, A; Garza, E; Zhang, E; Vepakomma, P; Sharma, V; Raskar, Ren_US
dspace.date.submission2022-11-17T18:21:28Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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