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A sequential strong PUF architecture based on reconfigurable neural networks (RNNs) against state-of-the-art modeling attacks

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Affiliation of Author(s):集成电路学院

Journal:INTEGRATION-THE VLSI JOURNAL

Document Code:3F2054AD8B1D441DBC0B14A25834B0D9

Issue:92

Number of Words:35

Translation or Not:no

Date of Publication:2023-09-01

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