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zhihengli-casia/smugglebench

SMUGGLEBENCH Paper: arXiv:2604.06950 Dataset Summary / 数据集简介 This dataset accompanies the paper Making MLLMs Blind: Adversarial Smuggling Attacks in MLLM Content Moderation. SMUGGLEBENCH is a multimodal safety benchmark for studying whether MLLMs can identify harmful text that is hidden, visually obfuscated, weakly visible, or contextually disguised inside images. The paper defines this threat as Adversarial Smuggling Attacks (ASA) and organizes it into two attack… See the full description on the dataset page: https://huggingface.co/datasets/zhihengli-casia/smugglebench.

Author / organizationzhihengli-casia
License (as declared)cc-by-4.0
Downloads407 (as reported by Hugging Face)
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Created8 April 2026
Last updated at source16 October 2026
imagemultimodalocrcontent-safetyadversarial
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