mlsanityData to 14 Oct 2026

Applying Large Language Models to Power Systems: Potential Security Threats

arXiv 2311.13361 ↗First posted 22 Nov 2023cs.AI cs.HC cs.SYcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 2 of its 16 references that are in the map. First posted on arXiv 22 Nov 2023.

Builds on

2 of 16 references.

References · 2

  1. 2020Extracting Training Data from Large Language Modelscited by 2,189
  2. 2021AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Promptscited by 268

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 3; 2026: 2.

8 papers.