kumitang/

llm_physical_safety_benchmark

This benchmark consists of four datasets designed to evaluate the performance of Large Language Models (LLMs) in controlling drones and their vulnerability to physical attacks. The datasets are categorized into different types of attacks:

Deliberate Attack: Contains 280 samples that evaluate the LLM's resistance to malicious use, testing its ability to recognize and reject commands intended to cause harm. Subcategories include Direct… See the full description on the dataset page: https://huggingface.co/datasets/kumitang/llm_physical_safety_benchmark.