shipnebula/AdvBench-omni

AdvBench-Omni Paper | Code AdvBench-Omni is a dataset constructed to evaluate and reveal safety vulnerabilities in Omni-modal Large Language Models (OLLMs). It is based on a modality-semantics decoupling principle to study how OLLMs handle cross-modal safety risks and conflicts. Introduction Omni-modal Large Language Models (OLLMs) expand multimodal capabilities but introduce new cross-modal safety risks. AdvBench-Omni reveals a significant vulnerability in these… See the full description on the dataset page: https://huggingface.co/datasets/shipnebula/AdvBench-omni.