Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/12737
Title: Secured convolutional layer hardware co-processor in convolutional neural network (CNN) using facial biometric
Authors: Sengupta, Anirban
Chaurasia, Rahul
Issue Date: 2023
Publisher: Institution of Engineering and Technology
Citation: Sengupta, A., & Chaurasia, R. (2023d). Methodology for exploration of security-design cost trade-off for signature-based security algorithms. 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-s2.0-85167360063&partnerID=40&md5=115c5d40914d3d6a1a6349f679db7899
Abstract: [No abstract available]
URI: https://dspace.iiti.ac.in/handle/123456789/12737
ISBN: 978-1839538216
Type of Material: Book Chapter
Appears in Collections:Department of Computer Science and Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: