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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

Author

J. Margaryan

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Preprint Jul 2026

Ball Differential Privacy: How to Mitigate Data Reconstruction with Less Noise

Ball-DP is proposed: enforcing epsilon-delta indistinguishability over single-record substitutions restricted to a ball of radius r under a distance metric d in the embedding space so that a deployment facing only local reconstruction threats can choose a small r, thereby reducing noise and recovering accuracy.

J. Margaryan, Nirupam Gupta · 0 citations

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