Differentially Private Summation with Multi-Message Shuffling
June 20, 2019 · Declared Dead · 🏛 arXiv.org
"No code URL or promise found in abstract"
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Authors
Borja Balle, James Bell, Adria Gascon, Kobbi Nissim
arXiv ID
1906.09116
Category
cs.CR: Cryptography & Security
Cross-listed
stat.ML
Citations
48
Venue
arXiv.org
Last Checked
6 months ago
Abstract
In recent work, Cheu et al. (Eurocrypt 2019) proposed a protocol for $n$-party real summation in the shuffle model of differential privacy with $O_{ε, δ}(1)$ error and $Θ(ε\sqrt{n})$ one-bit messages per party. In contrast, every local model protocol for real summation must incur error $Ω(1/\sqrt{n})$, and there exist protocols matching this lower bound which require just one bit of communication per party. Whether this gap in number of messages is necessary was left open by Cheu et al. In this note we show a protocol with $O(1/ε)$ error and $O(\log(n/δ))$ messages of size $O(\log(n))$ per party. This protocol is based on the work of Ishai et al.\ (FOCS 2006) showing how to implement distributed summation from secure shuffling, and the observation that this allows simulating the Laplace mechanism in the shuffle model.
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