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convex learning 1differential privacy 1privacy-utility tradeoff 1reconstruction attacks 1vector embeddings 1

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cs.CR2026

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

Joseph Margaryan, Nirupam Gupta

The paper introduces Ball-DP, a variant of differential privacy that limits indistinguishability to records within a bounded radius in embedding space, allowing less noise and high…