Image Classification on CIFAR-10 (test) (Accuracy and MI Metrics)
94.45Test AccuracyClean
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CleanVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 94.45 | — | 0.7122 | — | |
| RandomVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 94.11 | 0.34 | 0.6747 | 0.0375 | |
| EMVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 24.17 | 70.28 | 0.64 | 0.0722 | |
| NTGAVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 23.11 | 71.34 | 0.6126 | 0.0996 | |
| REMVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 22.94 | 71.51 | 0.629 | 0.0832 | |
| ARVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 17.41 | 77.04 | 0.5622 | 0.15 | |
| SEMVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 14.78 | 79.67 | 0.5747 | 0.1375 | |
| GUEVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 12.04 | 82.41 | 0.5895 | 0.1227 | |
| TUEVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 11.25 | 83.2 | 0.6094 | 0.1028 | |
| APVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 11.21 | 83.24 | 0.5871 | 0.1251 | |
| MI-UEVictim Model=ResNet-18, MI Estimator=histogram-based2026.03 | 9.95 | 84.5 | 0.4969 | 0.2153 |