most citedUnified Enhancement of Privacy Bounds for Mixture Mechanisms via -Differential Privacy

2 citations · 2 across the 1 of their papers we have counts for

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stat.ML2023★ 2 cited

Unified Enhancement of Privacy Bounds for Mixture Mechanisms via -Differential Privacy

Chendi Wang, Buxin Su, Jiayuan Ye +2

Differentially private (DP) machine learning algorithms incur many sources of randomness, such as random initialization, random batch subsampling, and shuffling. However, such rand…