2024
"Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation"
ECCV 2024poster
"Multimodal large language models (MLLMs) have shown impressive reasoning abilities. However, they are also more vulnerable to jailbreak attacks than their LLM predecessors. Although still capable of detecting the unsafe responses, we observe that safety mechanisms of the pre-aligned LLMs in MLLMs c…