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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 |
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