Table 1 Noise (λ) and sensitivities (Δf) lead to ε and interpretable re-identification confidence (ρ) for k-fold adaptive composition (k=38,070)
From: The influence of differential privacy on short term electric load forecasting
λ | Δf [kW] | ε | \(\tilde {\epsilon }_{\tilde {\delta }}\) | ρ | u λ | ||
|---|---|---|---|---|---|---|---|
CountingLab | Lloyd | Benchmark | |||||
0 | - | - | - | - | -1.53 | -16.81 | 7.80 |
10,000 | 7.57 | 0.00076 | 0.92 | 0.72 | -17.62 | -10.48 | 7.98 |
10,000 | 10.05 | 0.00100 | 1.23 | 0.77 | |||
10,000 | 15.36 | 0.00154 | 1.92 | 0.87 | |||
10,000 | 48.00 | 0.00480 | 6.46 | 1.00 | |||
56,234 | 7.57 | 0.00013 | 0.15 | 0.54 | -433.29 | -6.49 | 5.94 |
56,234 | 10.05 | 0.00018 | 0.21 | 0.55 | |||
56,234 | 15.36 | 0.00027 | 0.32 | 0.58 | |||
56,234 | 48.00 | 0.00085 | 1.04 | 0.74 | |||
100,000 | 7.57 | 0.00008 | 0.08 | 0.52 | -1084.80 | -2.76 | 3.10 |
100,000 | 10.05 | 0.00010 | 0.11 | 0.53 | |||
100,000 | 15.36 | 0.00015 | 0.18 | 0.54 | |||
100,000 | 48.00 | 0.00048 | 0.57 | 0.64 | |||