Table 4. Privacy sensitivity classification accuracies in the MPIIPrivacEye dataset using differentially private eye movement features.
Privacy sensitivity classification accuracies (k-NN|SVM|DT|RF) | |||||
---|---|---|---|---|---|
Method | ϵ = 0.48 | ϵ = 2.4 | ϵ = 4.8 | ϵ = 24 | ϵ = 48 |
FPA | 0.49|0.58|0.51|0.55 | 0.49|0.58|0.51|0.55 | 0.49|0.58|0.51|0.55 | 0.50|0.58|0.51|0.55 | 0.50|0.59|0.51|0.55 |
CFPA-32 | 0.55|0.59|0.52|0.56 | 0.55|0.58|0.52|0.56 | 0.55|0.58|0.52|0.56 | 0.56|0.58|0.53|0.57 | 0.58|0.60|0.54|0.58 |
CFPA-64 | 0.55|0.58|0.52|0.56 | 0.55|0.58|0.52|0.56 | 0.55|0.58|0.52|0.56 | 0.56|0.58|0.53|0.57 | 0.58|0.59|0.54|0.58 |
CFPA-128 | 0.55|0.57|0.52|0.56 | 0.55|0.57|0.52|0.56 | 0.55|0.57|0.52|0.56 | 0.56|0.58|0.53|0.57 | 0.58|0.59|0.54|0.59 |
DCFPA-32 | 0.54|0.59|0.52|0.56 | 0.55|0.59|0.52|0.56 | 0.55|0.59|0.52|0.56 | 0.54|0.59|0.52|0.56 | 0.55|0.59|0.52|0.56 |
DCFPA-64 | 0.54|0.58|0.52|0.56 | 0.54|0.58|0.52|0.56 | 0.54|0.58|0.52|0.56 | 0.54|0.58|0.52|0.56 | 0.54|0.58|0.52|0.56 |
DCFPA-128 | 0.54|0.57|0.52|0.56 | 0.54|0.57|0.52|0.56 | 0.54|0.57|0.52|0.56 | 0.54|0.57|0.52|0.56 | 0.54|0.57|0.52|0.56 |