Table 2.
Robust error values, in percentages, when using FGSM perturbations for all Cifar-10 models and different values. We report the mean values averaged over five different training runs.
Model; | 1/255 | 2/255 | 4/255 | 8/255 | 16/255 |
---|---|---|---|---|---|
FP-net () | 58.460 | 72.766 | 82.036 | 86.180 | 86.444 |
FP-net (basic) () | 56.662 | 73.634 | 82.296 | 86.406 | 89.108 |
PyrBlockNet () | 60.458 | 75.566 | 83.992 | 88.150 | 89.762 |
ResNet () | 57.284 | 71.912 | 80.378 | 84.338 | 88.016 |
FP-net () | 53.634 | 70.694 | 81.088 | 85.020 | 88.152 |
FP-net (basic) () | 51.112 | 68.510 | 79.036 | 84.034 | 86.830 |
PyrBlockNet () | 54.620 | 70.018 | 79.748 | 84.392 | 87.666 |
ResNet () | 52.434 | 69.652 | 79.678 | 84.166 | 86.956 |
FP-net () | 51.082 | 67.468 | 78.728 | 83.510 | 86.814 |
FP-net (basic) () | 48.360 | 66.104 | 77.236 | 82.486 | 86.256 |
PyrBlockNet () | 53.244 | 69.966 | 80.764 | 85.880 | 88.662 |
ResNet () | 49.788 | 67.852 | 78.590 | 83.290 | 86.544 |
FP-net () | 49.226 | 66.902 | 78.634 | 83.524 | 87.216 |
FP-net (basic) () | 45.896 | 64.284 | 76.076 | 81.652 | 85.484 |
PyrBlockNet () | 52.048 | 68.442 | 78.932 | 84.590 | 87.620 |
ResNet () | 47.888 | 66.056 | 77.066 | 81.992 | 86.410 |