Table 6.
Comparison of specificity and sensitivity metrics across anonymized images and facial recognition algorithms.
| Facial recognition algorithm | Anonymized images | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Original | Afni_deface | Afni_reface | FSL’s BET | AFNI’s 3Dskullstrip | ||||||
| Specificity | Sensitivity | Specificity | Sensitivity | Specificity | Sensitivity | Specificity | Sensitivity | Specificity | Sensitivity | |
| VGG-Face | 0.95 | 1 | 0.96 | 0.88 | 0.98 | 0.87 | 0.99 | 0.08 | 0.99 | 0.07 |
| FaceNet | 0.97 | 1 | 0.87 | 0.20 | 0.78 | 0.08 | 0.56 | 0.05 | 0.63 | 0.03 |
| D-Lib | 0.99 | 1 | 0.99 | 0.54 | 0.99 | 0.12 | 0.99 | 0.07 | 0.99 | 0 |
| SFace | 1 | 1 | 1 | 0.20 | 1 | 0 | 1 | 0 | 1 | 0 |