mlsanityData to 14 Oct 2026

An Exposition of GPT Astra's Proof of Lower Bound on DP Continual Counting

arXiv 2609.28528 ↗First posted 22 Sep 2026cs.CR cs.DS cs.LGcited by 0

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Abstract (arXiv)

The goal of this note is to give a detailed proof, to the best of our understanding, of the recent presentation by Harrison and Leeman (arXiv:2609.17650v01 and arXiv:2609.17650v02) of the proof by Astra on the lower bound for differentially private continual counting. We believe a more natural and easy proof is possible and hope that this note will help in that effort. Prior to the initial preprint by Harrison and Leeman (arXiv:2609.17650v01), Bairaktari and Larsen (arXiv:2607.00876) gave an elegant proof to show a lower bound of Omega(log3/2(n)) for both pure and approximate-DP continual counting, and in personal communication had informed us that they have a proof of optimal Omega(log2(n)) for pure-differential private continual counting as well. They have subsequently published their Omega(log2(n)) bound, which is now a joint work of Bairaktari, Dahl, and Larsen (arXiv:2607.00876v3). Their new result is an elegant extension of their technique for approximate-differential privacy. Although the two proofs are technically different, the Astra argument uses related tree geometry introduced in Bairaktari and Larsen.

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References · 3

  1. 2025Correlated Noise Mechanisms for Differentially Private Learningcited by 14
  2. 2024Count on Your Elders: Laplace vs Gaussian Noisecited by 4
  3. 2026Tight Lower Bounds for Differentially Private Continual Countingcited by 1

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