Dataset · Hugging Face

shipnebula/AdvBench-omni

Name: AdvBench-omni
Creator: shipnebula
Keywords: task_categories:any-to-any, size_categories:1K<n<10K, format:audiofolder, modality:audio, modality:image, modality:video, library:datasets, library:mlcroissant, arxiv:2602.10161, region:us

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.

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Author / organization	shipnebula
Downloads	137 (as reported by Hugging Face)
Likes	0
Created	23 August 2026
Last updated at source	23 August 2026

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