Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew.

arXiv:2605.17938v2 Announce Type: replace-cross Abstract: Training data attribution (TDA) should enable generative model interpretability and foster a variety of related downstream tasks. Nonetheless, current TDA approaches lack reliability and robustness, pre