Privacy-Preserving Representation Learning on MNIST
97.8Utility AUCGPP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GPPdz=120, Compression=6.5×, beta=1.02026.05 | 97.8 | 53.1 | 0.031 | |
| No-Privacybottleneck dimension (dz)=1202026.05 | 0.987 | 0.943 | — | |
| GPPbottleneck dimension (dz)=1202026.05 | 0.978 | 0.531 | — | |
| Noisy Encoderbottleneck dimension (dz)=1202026.05 | 0.941 | 0.871 | — | |
| Random Projectionbottleneck dimension (dz)=1202026.05 | 0.823 | 0.762 | — |