arxiv
PublishedJuly 3, 2026 at 4:00 AM
—neutral
Locality-Aware Continual Unlearning for Diffusion Models
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arXiv:2512.02657v2 Announce Type: replace-cross Abstract: Real-world deployment of text-to-image diffusion models requires continual concept removal as new privacy, copyright, or safety obligations arise over time. Existing unlearning methods, however, are designed for single-step deletion and colla
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Originally published on arxiv ↗