Novel Ferroelectric Tunnel FinFET based Encryption-embedded Computing-in-Memory for Secure AI with High Area-and Energy-Efficiency-Reference-Cited by-同舟云学术

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Novel Ferroelectric Tunnel FinFET based Encryption-embedded Computing-in-Memory for Secure AI with High Area-and Energy-Efficiency

Published:2022-12-03 Issue: Volume: Page:
ISSN:
Container-title:2022 International Electron Devices Meeting (IEDM)
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Author:

Luo Jin¹,Shao Hanyong¹,Fu Boyi¹,Fu Zhiyuan¹,Xu Weikai¹,Wang Kaifeng¹,Yang Mengxuan¹,Li Yiqing¹,Lv Xiao¹,Huang Qianqian¹,Huang Ru¹

Affiliation:

1. Peking University,School of Integrated Circuits,Beijing,China,100871

Funder

Nova

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10019319/10019320/10019387.pdf?arnumber=10019387

Reference9 articles.

1. Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption

2. An Analytical Surface Potential Model Accounting for the Dual-Modulation Effects in Tunnel FETs

Cited by 4 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 Reconfigurable Ferroelectric Transistor as An Ultra‐Scaled Cell for Low‐Power In‐Memory Data Processing;Advanced Electronic Materials;2024-08-05

2. IMCE: An In-Memory Computing and Encrypting Hardware Architecture for Robust Edge Security;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

3. Embedding security into ferroelectric FET array via in situ memory operation;Nature Communications;2023-12-13

4. Reconfigurable signal modulation in a ferroelectric tunnel field-effect transistor;Nature Communications;2023-05-03

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