Image Classification on CIFAR-100 standard (train test)
74.14AccuracyNone
Evaluation Results
| Method | Links | |
|---|---|---|
| NoneTraining Data=CLEAN, Backbone=ResNet-182023.05 | 74.14 | |
| Adv TrainingTraining Data=OPS UNLEARNABLE EXAMPLES [10], Backbone=ResNet-182023.05 | 60.31 | |
| Adv TrainingTraining Data=CLEAN, Backbone=ResNet-182023.05 | 59.23 | |
| Adv TrainingTraining Data=RANDOM NOISE, Backbone=ResNet-182023.05 | 58.83 | |
| Adv TrainingTraining Data=UNLEARNABLE EXAMPLES [10], Backbone=ResNet-182023.05 | 58.29 | |
| Adv TrainingTraining Data=ADVERSARIAL POISONING [7], Backbone=ResNet-182023.05 | 57.6 | |
| Orthogonal ProjectionTraining Data=RANDOM NOISE, Backbone=ResNet-182023.05 | 51.23 | |
| Orthogonal ProjectionTraining Data=OPS UNLEARNABLE EXAMPLES [10], Backbone=ResNet-182023.05 | 41.83 | |
| Orthogonal ProjectionTraining Data=UNLEARNABLE EXAMPLES [10], Backbone=ResNet-182023.05 | 28.44 | |
| Orthogonal ProjectionTraining Data=CLEAN, Backbone=ResNet-182023.05 | 26.78 | |
| Orthogonal ProjectionTraining Data=ADVERSARIAL POISONING [7], Backbone=ResNet-182023.05 | 25.24 | |
| NoneTraining Data=UNLEARNABLE EXAMPLES [10], Backbone=ResNet-182023.05 | 8.11 | |
| NoneTraining Data=ADVERSARIAL POISONING [7], Backbone=ResNet-182023.05 | 5.93 | |
| NoneTraining Data=OPS UNLEARNABLE EXAMPLES [10], Backbone=ResNet-182023.05 | 1.72 | |
| NoneTraining Data=RANDOM NOISE, Backbone=ResNet-182023.05 | 1.3 |