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Tomoya Yamashita

2 accepted papers

2025

Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation

ICLR 2025poster

Diffusion models are powerful generative models but often generate sensitive data that are unwanted by users, mainly because the unlabeled training data frequently contain such sensitive data. Since labeling all sensitive data in the large-scale unlabeled training data is impractical, we address thi…

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