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Title: Applying large language models to power systems: potential security threats
Authors: Ruan, J 
Liang, G
Zhao, H 
Liu, G
Sun, X 
Qiu, J
Xu, Z 
Wen, F
Dong, ZY
Issue Date: May-2024
Source: IEEE transactions on smart grid, May 2024, v. 15, no. 3, p. 3333-3336
Abstract: Applying large language models (LLMs) to modern power systems presents a promising avenue for enhancing decision-making and operational efficiency. However, this action may also incur potential security threats, which have not been fully recognized so far. To this end, this article analyzes potential threats incurred by applying LLMs to power systems, emphasizing the need for urgent research and development of countermeasures.
Keywords: Large language models
Power systems
Security threats
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on smart grid 
ISSN: 1949-3053
EISSN: 1949-3061
DOI: 10.1109/TSG.2024.3373256
Rights: © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication J. Ruan et al., "Applying Large Language Models to Power Systems: Potential Security Threats," in IEEE Transactions on Smart Grid, vol. 15, no. 3, pp. 3333-3336, May 2024 is available at https://doi.org/10.1109/TSG.2024.3373256.
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