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. 2021 Aug 17;16(8):e0255979. doi: 10.1371/journal.pone.0255979

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