FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution

Guided image synthesis methods, like SDEdit based on the diffusion model, excel at creating realistic images from user inputs such as stroke paintings. However, existing efforts mainly focus on image quality, often overlooking a key point: the diffusion model represents a data distribution, not individual images. This introduces a low but critical chance of generating images that contradict user intentions, raising ethical concerns. For example, a user inputting a stroke painting with female characteristics might, with some probability, get male …

cs.cr cs.cv data diffusion diffusion model distribution excel focus image images inputs key low quality stroke synthesis