A machine learning attack resistant multi-PUF design on FPGA-Reference-Cited by-同舟云学术

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A machine learning attack resistant multi-PUF design on FPGA

Published:2018-01 Issue: Volume: Page:
ISSN:
Container-title:2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)
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Author:

Ma Qingqing,Gu Chongyan,Hanley Neil,Wang Chenghua,Liu Weiqiang,O'Neill Maire

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8291862/8297256/08297289.pdf?arnumber=8297289

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

2. Adaptive PUF design to authenticate and evaluate heterogeneous IPs in edge computing;The Journal of Supercomputing;2024-07-26

3. Masked Memory Primitive for Key Insulated Schemes;2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST);2024-05-06

4. Fully Symmetrical Obfuscated Interconnection and Weak-PUF-Assisted Challenge Obfuscation Strong PUFs Against Machine-Learning Modeling Attacks;IEEE Transactions on Information Forensics and Security;2024

5. DRAM-Based PUF Utilizing the Variation of Adjacent Cells;IEEE Transactions on Information Forensics and Security;2024

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