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Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
v1v2 (latest)

Uniformity Testing in the Shuffle Model: Simpler, Better, Faster

20 August 2021
C. Canonne
Hongyi Lyu
    FedML
ArXiv (abs)PDFHTML

Papers citing "Uniformity Testing in the Shuffle Model: Simpler, Better, Faster"

3 / 3 papers shown
Title
Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime
Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High ε\varepsilonε RegimeSymposium on Foundations of Responsible Computing (FRC), 2025
Charlie Harrison
Pasin Manurangsi
230
0
0
07 Apr 2025
Pure Differential Privacy from Secure Intermediaries
Pure Differential Privacy from Secure Intermediaries
Albert Cheu
Chao Yan
FedML
198
10
0
19 Dec 2021
Differential Privacy in the Shuffle Model: A Survey of Separations
Differential Privacy in the Shuffle Model: A Survey of Separations
Albert Cheu
FedML
257
44
0
25 Jul 2021
1