AGAPE: Anomaly Detection with Generative Adversarial Network for Improved Performance, Energy, and Security in Manycore Systems-Reference-Cited by-同舟云学术

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AGAPE: Anomaly Detection with Generative Adversarial Network for Improved Performance, Energy, and Security in Manycore Systems

Published:2022-03-14 Issue: Volume: Page:
ISSN:
Container-title:2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
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Author:

Wang Ke¹,Zheng Hao²,Li Yuan¹,Li Jiajun¹,Louri Ahmed¹

Affiliation:

1. George Washington University,Dept. of Electrical and Computer Engineering,Washington, DC,USA

2. University of Central Florida,Dept. of Electrical and Computer Engineering,Orlando,Florida,USA

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9774496/9774497/09774693.pdf?arnumber=9774693

Reference25 articles.

1. RIJID

2. On the Automatic Construction of Indistinguishable Operations

3. Runtime execution monitoring (REM) to detect and prevent malicious code execution

4. Lightweight Mitigation of Hardware Trojan Attacks in NoC-based Manycore Computing

5. Invariance Checking Based Trojan Detection Method for Three-Dimensional Integrated Circuits

Cited by 3 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. GAN4IP: A unified GAN and logic locking-based pipeline for hardware IP security;Sādhanā;2024-05-05

2. A Comprehensive Framework for Systemic Security Management in NoC-Based Many-Cores;IEEE Access;2023

3. FSA: An Efficient Fault-tolerant Systolic Array-based DNN Accelerator Architecture;2022 IEEE 40th International Conference on Computer Design (ICCD);2022-10

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