Table 5. Person identification classification accuracies in the MPIIPrivacEye dataset using differentially private eye movement features with majority voting.
| Person identification classification accuracies (k-NN|SVM|DT|RF) | |||||
|---|---|---|---|---|---|
| Method | ϵ = 0.48 | ϵ = 2.4 | ϵ = 4.8 | ϵ = 24 | ϵ = 48 |
| FPA | 1 | 1 | 1 | 1 | 1 |
| CFPA-32 | 0.05|0.06|0.07|0.07 | 0.05|0.06|0.07|0.07 | 0.06|0.06|0.08|0.07 | 0.07|0.06|0.09|0.11 | 0.11|0.06|0.14|0.16 |
| CFPA-64 | 0.06|0.06|0.06|0.07 | 0.06|0.06|0.06|0.06 | 0.06|0.06|0.07|0.07 | 0.07|0.06|0.09|0.09 | 0.11|0.06|0.16|0.16 |
| CFPA-128 | 0.06|0.06|0.07|0.07 | 0.06|0.06|0.07|0.07 | 0.06|0.06|0.07|0.08 | 0.07|0.06|0.09|0.11 | 0.11|0.06|0.15|0.15 |
| DCFPA-32 | 0.06|0.05|0.08|0.07 | 0.06|0.06|0.07|0.08 | 0.07|0.05|0.08|0.08 | 0.07|0.05|0.08|0.08 | 0.07|0.06|0.08|0.08 |
| DCFPA-64 | 0.06|0.05|0.06|0.06 | 0.06|0.05|0.06|0.06 | 0.06|0.05|0.06|0.06 | 0.05|0.06|0.06|0.06 | 0.06|0.05|0.06|0.06 |
| DCFPA-128 | 0.05|0.05|0.06|0.06 | 0.05|0.05|0.05|0.06 | 0.06|0.05|0.06|0.06 | 0.05|0.05|0.05|0.06 | 0.06|0.05|0.05|0.06 |