Authors link memorization to internal instability in diffusion models via latent norms, propose step-wise detection and mitigation achieving AUC >0.999 and 0% memorization rate on Stable Diffusion 1.4.
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A responsible computing framework substitutes real protest imagery with labeled synthetic reproductions from conditional image synthesis to enable privacy-aware analysis of collective action patterns.
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Broken Memories: Detecting and Mitigating Memorization in Diffusion Models with Degraded Generations
Authors link memorization to internal instability in diffusion models via latent norms, propose step-wise detection and mitigation achieving AUC >0.999 and 0% memorization rate on Stable Diffusion 1.4.
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Protecting and Preserving Protest Dynamics for Responsible Analysis
A responsible computing framework substitutes real protest imagery with labeled synthetic reproductions from conditional image synthesis to enable privacy-aware analysis of collective action patterns.