MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance

Renjie Pi, Tianyang Han, Jianshu Zhang +6

The deployment of multimodal large language models (MLLMs) has brought forth a unique vulnerability: susceptibility to malicious attacks through visual inputs. This paper investiga…