Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models

Understand

Large language models (LLMs) are widely applied in various fields of society due to their powerful reasoning, understanding, and generation capabilities.

• However, the security issues associated with these models are becoming increasingly severe.
• Jailbreaking attacks, as an important method for detecting vulnerabilities in LLMs, have been explored by researchers who attempt to induce these models to generate harmful content through various attack methods.
• Nevertheless, existing jailbreaking methods face numerous limitations, such as excessive query counts, limited coverage of jailbreak modalities, low attack success rates, and simplistic evaluation methods.