A sequential strong PUF architecture based on reconfigurable neural networks (RNNs) against state-of-the-art modeling attacks
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Institution:集成电路学院
Title of Paper:A sequential strong PUF architecture based on reconfigurable neural networks (RNNs) against state-of-the-art modeling attacks
Journal:INTEGRATION-THE VLSI JOURNAL
First Author:彭兆康
Document Code:1668456799012634625
Volume:92
Page Number:83-90
Number of Words:20000
Translation or Not:No
Date of Publication:2023-09
Release Time:2024-01-06