Original title: Applying Large Language Models to Power Systems: Potential Security Threats
Authors: Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Jing Qiu, Junhua Zhao, Zhao Xu, Fushuan Wen, Zhao Yang Dong
In this article, researchers explore the exciting use of large language models (LLMs) in power systems. These models offer big potential for smarter decisions and better operations. Yet, there’s a catch—they might also bring security risks that haven’t been fully looked into. This letter dives into those possible threats that come with using LLMs in power systems. It’s a call for action, stressing the urgency of researching and creating ways to protect against these potential risks. While LLMs promise great improvements, this article highlights the importance of understanding and safeguarding power systems against any security vulnerabilities they might introduce.
Original article: https://arxiv.org/abs/2311.13361