Deep Adversary based Stealthy False Data Injection Attacks against AC state estimation-Reference-Cited by-同舟云学术

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Deep Adversary based Stealthy False Data Injection Attacks against AC state estimation

Published:2022-11-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC)
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Author:

Bhattacharjee Arnab¹,Mishra Sukumar²,Verma Ashu³

Affiliation:

1. University of Queensland-IIT Delhi Academy of Research,Electrical Engineering

2. Indian Institute of Technology,Electrical Engineering Department,Delhi,India,110016

3. Indian Institute of Technology,Department of Energy Science and Engineering,Delhi,India,110016

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10072006/10072029/10072221.pdf?arnumber=10072221

Reference15 articles.

1. Explaining and harnessing adversarial examples;goodfellow;International Conference on Learning Representations,0

2. A New AC False Data Injection Attack Method Without Network Information

3. Deep Latent Space Clustering for Detection of Stealthy False Data Injection Attacks Against AC State Estimation in Power Systems

4. Adversarial Attacks and Defenses in Deep Learning

5. Targeted False Data Injection Attacks Against AC State Estimation Without Network Parameters

Cited by 2 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. On Brittleness of Data-Driven Distribution System State Estimation to Targeted Attacks;The 15th ACM International Conference on Future and Sustainable Energy Systems;2024-05-31

2. Adversarial Attacks on Machine Learning-Based State Estimation in Power Distribution Systems;Proceedings of the 14th ACM International Conference on Future Energy Systems;2023-06-16

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