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Degree:Doctor
Status:Employed
School/Department:微电子学院

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Weize Yu

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Gender:Male

Education Level:With Certificate of Graduation for Doctorate Study

Alma Mater:美国南佛罗里达大学

Paper Publications

Current position: Home / Scientific Research / Paper Publications
A sequential strong PUF architecture based on reconfigurable neural networks (RNNs) against state-of-the-art modeling attacks
Date of Publication:2023-09-01 Hits:

Affiliation of Author(s):集成电路学院
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:2023-09-01
Date of Publication:2023-09-01

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