A novel PUF against machine learning attack: Implementation on a 16 Mb RRAM chip-Reference-Cited by-同舟云学术

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A novel PUF against machine learning attack: Implementation on a 16 Mb RRAM chip

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Electron Devices Meeting (IEDM)
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Author:

Pang Yachuan,Wu Huaqiang,Gao Bin,Wu Dong,Chen An,Qian He

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8255107/8268301/08268376.pdf?arnumber=8268376

Cited by 11 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. Emerging Memory-Based Chip Development for Neuromorphic Computing: Status, Challenges, and Perspectives;IEEE Electron Devices Magazine;2023-09

2. Resistive RAM-based PUF: Challenges and Opportunities;2023 IEEE 16th Dallas Circuits and Systems Conference (DCAS);2023-04-14

3. An Evaluation Method of the Anti-Modeling-Attack Capability of PUFs;IEEE Transactions on Information Forensics and Security;2023

4. AI Makes Crypto Evolve;Applied System Innovation;2022-07-29

5. A High Area-Efficiency RRAM-Based Strong PUF with Multi-Entropy Source and Configurable Double-Read Process;2022 IEEE International Symposium on Circuits and Systems (ISCAS);2022-05-28

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