pith:7E4SAUQU
Limits of Personalizing Differential Privacy Budgets
For mean estimation, a simple thresholding operator on privacy budgets captures nearly all the utility gains of full personalization.
arxiv:2605.13503 v1 · 2026-05-13 · cs.CR · cs.LG
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Claims
we show that personalized budgets come with major limitations and that for mean estimation, the dominant factor is not full personalization, but rather choosing the right effective privacy budget. This can be achieved through a simple thresholding operator that we describe.
The analysis assumes standard additive-noise mechanisms for mean estimation and specific distributions of privacy requirements (mixed public-private or two-level), which may not capture all real-world data distributions or query types.
For mean estimation, a simple thresholding operator on privacy budgets matches the performance of fully personalized differential privacy mechanisms up to constant factors.
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| First computed | 2026-05-18T02:44:24.679687Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Canonical record JSON
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