PHANTOM is a consolidated open-source dataset of 47,524 multimodal adversarial samples for VLMs, extending prior benchmarks across 10 high-level categories and 55 subcategories of harmful intents.
Jailbreak vision language models via bi-modal adversarial prompt.IEEE Transactions on Information Forensics and Security, 20:7153–7165, 2025
2 Pith papers cite this work, alongside 13 external citations. Polarity classification is still indexing.
2
Pith papers citing it
13
external citations · external index
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 2years
2026 2roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models
PHANTOM is a consolidated open-source dataset of 47,524 multimodal adversarial samples for VLMs, extending prior benchmarks across 10 high-level categories and 55 subcategories of harmful intents.
- Every Picture Tells a Dangerous Story: Memory-Augmented Multi-Agent Jailbreak Attacks on VLMs