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it4lia/PHANTOM

PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models PHANTOM is a large-scale, open-source dataset of pre-generated multimodal adversarial attacks designed to evaluate the robustness and safety of Vision-Language Models (VLMs). The dataset provides ready-to-use adversarial image–text pairs targeting a wide range of harmful intents, enabling systematic, reproducible, and cost-effective safety evaluation without requiring expensive… See the full description on the dataset page: https://huggingface.co/datasets/it4lia/PHANTOM.

Author / organizationit4lia
License (as declared)cc-by-4.0
Downloads188 (as reported by Hugging Face)
Likes4
Created4 May 2026
Last updated at source17 August 2026
adversarial-attacksadversarial-robustnessjailbreakred-teamingai-safetyvision-language-modelsmultimodalsafety-evaluationbenchmark
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