Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/12738
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dc.contributor.authorSengupta, Anirbanen_US
dc.contributor.authorChaurasia, Rahulen_US
dc.date.accessioned2023-12-14T12:38:21Z-
dc.date.available2023-12-14T12:38:21Z-
dc.date.issued2023-
dc.identifier.citationSengupta, A., & Chaurasia, R. (2023e). Secured convolutional layer hardware co-processor in convolutional neural network (CNN) using facial biometric. In Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors. Institution of Engineering and Technologyen_US
dc.identifier.citationScopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167351140&partnerID=40&md5=a750f0a4e00aeecf858aa495fdc0d870en_US
dc.identifier.isbn978-1839538216-
dc.identifier.otherEID(2-s2.0-85167345663)-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/12738-
dc.description.abstract[No abstract available]en_US
dc.language.isoenen_US
dc.publisherInstitution of Engineering and Technologyen_US
dc.sourcePhysical Biometrics for Hardware Security of DSP and Machine Learning Coprocessorsen_US
dc.titleHandling symmetrical IP core protection and IP protection (IPP) of Trojan-secured designs in HLS using physical biometricsen_US
dc.typeBook Chapteren_US
Appears in Collections:Department of Computer Science and Engineering

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