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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Tue Do

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Preprint Oct 2026

Diffusion Sensitivity Geometry and Strong Duality for Optimal Privacy-Utility Tradeoffs

Existing approaches to differential privacy in diffusion models rely on loose sensitivity bounds and isotropic Gaussian noise, leading to unnecessary estimation error. We develop a framework for the optimal privacy-utility tradeoff of ideal diffusion denoisers, replacing conservative bounds with exact sensitivity chara...

Tue Do, Daniel Alabi · 0 citations
Preprint Aug 2026

DIME: Query-Efficient Framework for Membership Inference on Diffusion Models

DIME (Denoiser Ideal Membership Error), a theoretically grounded and query-efficient framework for membership inference on diffusion models, is introduced, which reveals that membership leakage is governed by the denoiser's implicit reconstruction error.

Tue Do, Daniel Alabi · 0 citations

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