Structure-Level Concept Erasure via Self-Attention Disruption in Diffusion Models
Text-to-image diffusion models can synthesize unsafe content on demand, which makes concept erasure an active safety problem. Existing training-free methods all intervene on the model's content pathway: they steer the predicted noise, project the text embedding, or rewrite cross-attention weights, controlling what the...