arxivApril 8, 2026 at 4:00 AM1 min read

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments

arXiv:2604.06019v1 Announce Type: cross Abstract: The advancement of Large Language Models (LLMs) has raised concerns regarding their dual-use potential in cybersecurity. Existing evaluation frameworks overwhelmingly focus on Information Technology (IT) environments, failing to capture the constrain

Read original article ↗

No replies yet. Be first.

arxiv6h ago

Advantage-Guided Diffusion for Model-Based Reinforcement Learning

arxiv6h ago

FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes

arxiv6h ago

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments

Related Articles

Advantage-Guided Diffusion for Model-Based Reinforcement Learning

FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes

HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help?