Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models 事件

Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models arXiv:2605.25765v1 Announce Type: new Abstract: Concept unlearning aims to erase a target concept from a pretrained text-to-image diffusion model without retraining. Closed-form methods are attractive in this setting because they apply a single deterministic edit to the cross-attention weights and add no inference-time cost. Existing closed-form methods, however, represent the target concept through the text encod