J. Margaryan

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.