collaborators

1 paper

cs.CV2026

Unsafe2Safe: Controllable Image Anonymization for Downstream Utility

Mih Dinh, SouYoung Jin

Large-scale image datasets frequently contain identifiable or sensitive content, raising privacy risks when training models that may memorize and leak such information. We present…