Applying Large Language Models to Power Systems: Potential Security Threats
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingSimilar Papers 제목 키워드 기반
LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study
Grapheme-to-phoneme (G2P) conversion is critical in speech processing, particularly for applications like speech synthesis. G2P systems must possess linguistic understanding and contextual awareness of languages with pol…
BenchmarkingGrapheme-to-Phoneme ConversionSentenceSpeech SynthesisLLM-Empowered Resource Allocation in Wireless Communications Systems
The recent success of large language models (LLMs) has spurred their application in various fields. In particular, there have been efforts to integrate LLMs into various aspects of wireless communication systems. The use…
From nuclear safety to LLM security: Applying non-probabilistic risk management strategies to build safe and secure LLM-powered systems
Large language models (LLMs) offer unprecedented and growing capabilities, but also introduce complex safety and security challenges that resist conventional risk management. While conventional probabilistic risk analysi…
ManagementApplying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis
This paper presents a novel method for utilizing fine-tuned Large Language Models (LLMs) to minimize data requirements in load profile analysis, demonstrated through the restoration of missing data in power system load p…
Few-Shot LearningPrompt EngineeringQuantum Neural Networks for Solving Power System Transient Simulation Problem
Quantum computing, leveraging principles of quantum mechanics, represents a transformative approach in computational methodologies, offering significant enhancements over traditional classical systems. This study tackles…