Applying Large Language Models to Power Systems: Potential Security Threats
November 22, 2023 Β· Declared Dead Β· π IEEE Transactions on Smart Grid
"No code URL or promise found in abstract"
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Authors
Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun, Jing Qiu, Zhao Xu, Fushuan Wen, Zhao Yang Dong
arXiv ID
2311.13361
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC,
eess.SY
Citations
47
Venue
IEEE Transactions on Smart Grid
Last Checked
4 months ago
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.
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