Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/12738
Title: Handling symmetrical IP core protection and IP protection (IPP) of Trojan-secured designs in HLS using physical biometrics
Authors: Sengupta, Anirban
Chaurasia, Rahul
Issue Date: 2023
Publisher: Institution of Engineering and Technology
Citation: Sengupta, 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 Technology
Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167351140&partnerID=40&md5=a750f0a4e00aeecf858aa495fdc0d870
Abstract: [No abstract available]
URI: https://dspace.iiti.ac.in/handle/123456789/12738
ISBN: 978-1839538216
Type of Material: Book Chapter
Appears in Collections:Department of Computer Science and Engineering

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