Is Machine Learning in Power Systems Vulnerable?-Reference-Cited by-同舟云学术

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Is Machine Learning in Power Systems Vulnerable?

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
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Author:

Chen Yize,Tan Yushi,Deka Deepjyoti

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8580358/8587411/08587547.pdf?arnumber=8587547

Cited by 36 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. AdaptEdge: Targeted Universal Adversarial Attacks on Time Series Data in Smart Grids;IEEE Transactions on Smart Grid;2024-09

2. LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection;IEEE Transactions on Dependable and Secure Computing;2024-09

3. A Review of Power System False Data Attack Detection Technology Based on Big Data;Information;2024-07-28

4. A comparative analysis of different transmission line fault detectors and classifiers during normal conditions and cyber‐attacks;The Journal of Engineering;2024-06-28

5. A Comprehensive Survey on Enabling Techniques in Secure and Resilient Smart Grids;Electronics;2024-06-03

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