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Privacy Budget Estimation on Shuffled Mechanisms n=10000, ε0=4.444

0.369Privacy Budget (Epsilon)Numerical ε lower bound
0.2061.306252.40653.50675Oct 30, 2023
Updated 8mo ago

Evaluation results

MethodLinks
Numerical ε lower boundδ=5 x 10^-5, n=10000, ε0=4.4442023.100.369
f-DP analysis of mixture mechanismsδ=5 x 10^-5, n=10000, ε0=4.4442023.100.4
Numerical ε lower boundδ=3 x 10^-6, n=10000, ε0=4.4442023.100.47
f-DP analysis of mixture mechanismsδ=3 x 10^-6, n=10000, ε0=4.4442023.100.5
Numerical ε lower boundδ=10^-7, n=10000, ε0=4.4442023.100.575
f-DP analysis of mixture mechanismsδ=10^-7, n=10000, ε0=4.4442023.100.6
Numerical ε lower boundδ=4 x 10^-9, n=10000, ε0=4.4442023.100.664
f-DP analysis of mixture mechanismsδ=4 x 10^-9, n=10000, ε0=4.4442023.100.7
Numerical ε lower boundδ=9 x 10^-11, n=10000, ε0=4.4442023.100.758
f-DP analysis of mixture mechanismsδ=9 x 10^-11, n=10000, ε0=4.4442023.100.8
Numerical ε upper boundδ=5 x 10^-5, n=10000, ε0=4.4442023.101.014
Numerical ε upper boundδ=3 x 10^-6, n=10000, ε0=4.4442023.101.085
Numerical ε upper boundδ=10^-7, n=10000, ε0=4.4442023.104.444
Numerical ε upper boundδ=4 x 10^-9, n=10000, ε0=4.4442023.104.444
Numerical ε upper boundδ=9 x 10^-11, n=10000, ε0=4.4442023.104.444