Protecting sensitive data in image synthesis via PAC-private adaptation for diffusion models
Read the original at arxiv.org→arXiv:2610.04038v1 Announce Type: new Abstract: Synthetic data are increasingly used as an alternative to sharing sensitive records. However, synthetic data generation does not guarantee privacy, as diffusion models...
Original headline: "Protecting Sensitive Data in Image Synthesis via PAC-Private Adaptation for Diffusion Models"
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- Oct 6, 04:00 UTC arXiv cs.LG lead source Protecting Sensitive Data in Image Synthesis via PAC-Private Adaptation for Diffusion Models