Applying Large Language Models to Power Systems: Potential Security Threats

November 22, 2023 Β· Declared Dead Β· πŸ› IEEE Transactions on Smart Grid

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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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