Privacy Budget Estimation on Shuffled Mechanisms n=10000, ε0=4.444
0.369Privacy Budget (Epsilon)Numerical ε lower bound
Evaluation Results
| Method | Links | |
|---|---|---|
| Numerical ε lower boundδ=5 x 10^-5, n=10000, ε0=4.4442023.10 | 0.369 | |
| f-DP analysis of mixture mechanismsδ=5 x 10^-5, n=10000, ε0=4.4442023.10 | 0.4 | |
| Numerical ε lower boundδ=3 x 10^-6, n=10000, ε0=4.4442023.10 | 0.47 | |
| f-DP analysis of mixture mechanismsδ=3 x 10^-6, n=10000, ε0=4.4442023.10 | 0.5 | |
| Numerical ε lower boundδ=10^-7, n=10000, ε0=4.4442023.10 | 0.575 | |
| f-DP analysis of mixture mechanismsδ=10^-7, n=10000, ε0=4.4442023.10 | 0.6 | |
| Numerical ε lower boundδ=4 x 10^-9, n=10000, ε0=4.4442023.10 | 0.664 | |
| f-DP analysis of mixture mechanismsδ=4 x 10^-9, n=10000, ε0=4.4442023.10 | 0.7 | |
| Numerical ε lower boundδ=9 x 10^-11, n=10000, ε0=4.4442023.10 | 0.758 | |
| f-DP analysis of mixture mechanismsδ=9 x 10^-11, n=10000, ε0=4.4442023.10 | 0.8 | |
| Numerical ε upper boundδ=5 x 10^-5, n=10000, ε0=4.4442023.10 | 1.014 | |
| Numerical ε upper boundδ=3 x 10^-6, n=10000, ε0=4.4442023.10 | 1.085 | |
| Numerical ε upper boundδ=10^-7, n=10000, ε0=4.4442023.10 | 4.444 | |
| Numerical ε upper boundδ=4 x 10^-9, n=10000, ε0=4.4442023.10 | 4.444 | |
| Numerical ε upper boundδ=9 x 10^-11, n=10000, ε0=4.4442023.10 | 4.444 |