Generative-based Adversarial Attack Detection on ImageNet100
0.9878CDAPerturbation Forgery
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Perturbation Forgery2024.05 | 0.9878 | 0.9678 | 0.9364 | 0.9223 | 0.9223 | |
| EPSAD2024.05 | 0.9674 | 0.6997 | 0.7265 | 0.47 | 0.1507 | |
| SPAD2024.05 | 0.9385 | 0.9064 | 0.8984 | 0.8862 | 0.8879 | |
| DIRE2024.05 | 0.8976 | 0.9097 | 0.9129 | 0.9097 | 0.9143 | |
| Universal-Detector2024.05 | 0.7945 | 0.817 | 0.8312 | 0.9202 | 0.5531 | |
| CNN-Detection2024.05 | 0.7051 | 0.6743 | 0.6917 | 0.3963 | 0.526 | |
| LGrad2024.05 | 0.6144 | 0.6077 | 0.6068 | 0.5586 | 0.5835 |