MUCS uses mirrored unlearning and noise-consistent skew to outperform prior TDA methods for diffusion models on three datasets.
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Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew
MUCS uses mirrored unlearning and noise-consistent skew to outperform prior TDA methods for diffusion models on three datasets.