Preprint

FaceLock introduces a robust adversarial perturbation method to protect human portraits from malicious diffusion-based edits by rendering subjects biometrically unrecognizable post-editing.

To leverage SAM’s flexibility and domain knowledge, we propose a novel fine-tuning paradigm for single-source domain generalization of medical image segmentation.