Jailbreaking LLMs for smart grid operations yields 33.1% overall attack success rate, with DeepInception at 63.17%, Claude 3.5 Haiku at 0%, Gemini 2.0 Flash-Lite at 55.04%, and GPT-4o mini at 44.34%.
Large Language Model-Based Framewor k for Explainable Cyberattack Detection in Automatic Generatio n Control Systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards
Jailbreaking LLMs for smart grid operations yields 33.1% overall attack success rate, with DeepInception at 63.17%, Claude 3.5 Haiku at 0%, Gemini 2.0 Flash-Lite at 55.04%, and GPT-4o mini at 44.34%.