Adversarial Attack on ImageNet1k 1000 images subset
96.5Model Accuracy (Inception v3)
MultiANDA
Updated 3d ago
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
2022.09 | 96.5 | 100 | 99.2 | 95 | 90.1 | 95.2 | |
2022.09 | 95.6 | 100 | 98.9 | 94 | 89.5 | 94.5 | |
2022.09 | 86.2 | 99.6 | 94.5 | 80.4 | 88.3 | 87.4 | |
2022.09 | 75.4 | 99.8 | 92.9 | 67.9 | 75.6 | 78 | |
2022.09 | 75.4 | 66.1 | 58.6 | 63.5 | 100 | 65.9 | |
2022.09 | 75.3 | 99.9 | 93.4 | 68.3 | 76.4 | 78.4 | |
2022.09 | 74.4 | 64.1 | 56.4 | 61.5 | 100 | 64.1 | |
2022.09 | 63.2 | 56.7 | 46.6 | 48.8 | 100 | 53.8 | |
2022.09 | 62.7 | 56.7 | 46.5 | 48.6 | 100 | 53.6 | |
2022.09 | 62.4 | 100 | 86.1 | 51.9 | 58.7 | 64.8 | |
2022.09 | 61.9 | 99.9 | 83.6 | 47.5 | 61.1 | 63.5 | |
2022.09 | 59.6 | 99.7 | 85.4 | 48.1 | 67 | 65 | |
2022.09 | 58.5 | 99.7 | 85.9 | 48.6 | 67.4 | 65.1 | |
2022.09 | 57.4 | 50.7 | 40.9 | 42.7 | 100 | 47.9 | |
2022.09 | 48.8 | 43.6 | 34.7 | 33.9 | 100 | 40.3 | |
2022.09 | 48.6 | 100 | 83.7 | 35.3 | 50.9 | 54.6 | |
2022.09 | 47.3 | 77 | 47.6 | 30.8 | 68.8 | 54.3 | |
2022.09 | 44.7 | 39.4 | 28.9 | 30.8 | 99.9 | 36 | |
2022.09 | 43.6 | 39.5 | 29.2 | 30.4 | 99.9 | 35.7 | |
2022.09 | 41.5 | 34.8 | 30.2 | 23.6 | 100 | 46 | |
2022.09 | 37.7 | 34.4 | 25.2 | 23.6 | 100 | 30.2 | |
2022.09 | 33.2 | 99.7 | 63.9 | 20.9 | 43.4 | 40.4 | |
2022.09 | 31.7 | 26.4 | 19.2 | 16.4 | 99.9 | 23.4 | |
2022.09 | 23.5 | 18.7 | 13.7 | 9.9 | 99.9 | 16.5 |