MAI-2025-0008

Multimodal Large Language Models MLLMs are susceptible to a sophisticated attack vector that exploits narrative-driven visual storytelling and role immersion to bypass inherent safety protocols. This attack, known as MIRAGE, strategically decomposes malicious queries into triplets consisting of...

OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation

Recent advances in multi-modal large language models MLLMs have enabled unified perception-reasoning capabilities, yet these systems remain highly vulnerable to jailbreak attacks that bypass safety alignment and induce harmful behaviors. Existing benchmarks such as JailBreakV-28K, MM-SafetyBench,...