When Good Sounds Go Adversarial: Jailbreaking Audio-Language Models with Benign Inputs

As large language models become increasingly integrated into daily life, audio has emerged as a key interface for human-AI interaction. However, this convenience also introduces new vulnerabilities, making audio a potential attack surface for adversaries. Our research introduces WhisperInject, a...

MAI-2024-0056

This vulnerability pertains to multimodal large language models MLLMs, where attackers can efficiently perform jailbreaking attacks by utilizing visual inputs to circumvent established safety protocols. The attack methodology involves integrating a visual module into the target LLM, followed by...