A tuning-free method that projects middle-layer semantic representations back onto early safety layers, improving vision-language model safety with minimal utility loss.
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Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models
A tuning-free method that projects middle-layer semantic representations back onto early safety layers, improving vision-language model safety with minimal utility loss.