Protecting the Intellectual Property of Binary Deep Neural Networks With Efficient Spintronic-Based Hardware Obfuscation-Reference-Cited by-同舟云学术

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Protecting the Intellectual Property of Binary Deep Neural Networks With Efficient Spintronic-Based Hardware Obfuscation

Published:2024-07 Issue:7 Volume:71 Page:3146-3156
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Mohseni Alireza¹^ORCID,Moaiyeri Mohammad Hossein¹^ORCID,Amirany Abdolah²^ORCID,Hadi Rezayati Mohammad¹^ORCID

Affiliation:

1. Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran.

2. Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8919/10575936/10532138.pdf?arnumber=10532138

Reference41 articles.

1. Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks

2. Hardware-Assisted Intellectual Property Protection of Deep Learning Models

3. Preventing DNN Model IP Theft via Hardware Obfuscation

4. DeepMarks: A digital fingerprinting framework for deep neural networks;Chen;arXiv:1804.03648,2018

5. DeepSigns

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1. A robust deep learning attack immune MRAM-based physical unclonable function;Scientific Reports;2024-09-04

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