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Robust Diffusion Models via Divergence-Induced Weighted Denoising

Replacing diffusion denoising loss with f-divergence-induced weights improves contamination robustness via bounded-influence residual downweighting, cutting CIFAR-10 FID from 93.0 to 77.5 under 30% contamination.

Lei Li, Yuexiao Dong

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
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strict 1/5