Adversarial Image Classification on CIFAR-100 (test)
67.4SASAT with RCS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SAT with RCSSubset fraction k=0.2, Running time (hours)=121.9, Protocol=AFF (Adversarial Full Finetuning), Backbone=WRN-28-102023.02 | 67.4 | 35.91 | |
| SAT with RCSSubset fraction k=0.1, Running time (hours)=81.9, Protocol=AFF (Adversarial Full Finetuning), Backbone=WRN-28-102023.02 | 66.12 | 34.41 | |
| SAT with RCSSubset fraction k=0.05, Running time (hours)=68.6, Protocol=AFF (Adversarial Full Finetuning), Backbone=WRN-28-102023.02 | 64.95 | 33.74 | |
| SAT with RandomSubset fraction k=0.1, Running time (hours)=70.2, Protocol=AFF (Adversarial Full Finetuning), Backbone=WRN-28-102023.02 | 63.6 | 31.97 | |
| SATPre-training=entire set, Running time (hours)=341.7, Protocol=ALF (Adversarial Linear Finetuning), Backbone=WRN-28-102023.02 | 63.35 | 32.08 | |
| SAT with RandomSubset fraction k=0.2, Running time (hours)=103.4, Protocol=AFF (Adversarial Full Finetuning), Backbone=WRN-28-102023.02 | 61.97 | 33.58 | |
| SAT with RCSSubset fraction k=0.2, Running time (hours)=121.9, Protocol=ALF (Adversarial Linear Finetuning), Backbone=WRN-28-102023.02 | 61.9 | 29.01 | |
| SATPre-training=entire set, Running time (hours)=341.7, Protocol=AFF (Adversarial Full Finetuning), Backbone=WRN-28-102023.02 | 61.56 | 35.64 | |
| SAT with RandomSubset fraction k=0.05, Running time (hours)=53.6, Protocol=AFF (Adversarial Full Finetuning), Backbone=WRN-28-102023.02 | 61.12 | 31.03 | |
| SAT with RCSSubset fraction k=0.1, Running time (hours)=81.9, Protocol=ALF (Adversarial Linear Finetuning), Backbone=WRN-28-102023.02 | 59.92 | 28.11 | |
| SAT with RCSSubset fraction k=0.05, Running time (hours)=68.6, Protocol=ALF (Adversarial Linear Finetuning), Backbone=WRN-28-102023.02 | 58.31 | 27.95 | |
| Standard trainingPre-training=entire set, Running time (hours)=66.7, Protocol=AFF (Adversarial Full Finetuning), Backbone=WRN-28-102023.02 | 54.81 | 27.81 | |
| SAT with RandomSubset fraction k=0.2, Running time (hours)=103.4, Protocol=ALF (Adversarial Linear Finetuning), Backbone=WRN-28-102023.02 | 51.05 | 24.19 | |
| SAT with RandomSubset fraction k=0.1, Running time (hours)=70.2, Protocol=ALF (Adversarial Linear Finetuning), Backbone=WRN-28-102023.02 | 50.57 | 20.99 | |
| SAT with RandomSubset fraction k=0.05, Running time (hours)=53.6, Protocol=ALF (Adversarial Linear Finetuning), Backbone=WRN-28-102023.02 | 41.1 | 19.69 | |
| Standard trainingPre-training=entire set, Running time (hours)=66.7, Protocol=ALF (Adversarial Linear Finetuning), Backbone=WRN-28-102023.02 | 11.05 | 0 |