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
Document Code:3F2054AD8B1D441DBC0B14A25834B0D9
Issue:92
Number of Words:35
Translation or Not:No
Date of Publication:2023-09
Release Time:2023-12-07