From: Attacking convolutional neural network using differential evolution
Method | Success rate (%) | Confidence (%) | Number (percentage) of pixels | Network |
---|---|---|---|---|
0.1/0.1/0.1 | 72.30 | 83.63 | 5 (0.48%) | NiN |
0.1/0.1/0.1 | 56.49 | 67.36 | 5 (0.48%) | VGG |
0.1/0.1/0.1 | 71.86 | 90.30 | 5 (0.48%) | AllConv |
LSA | 97.89 | 72 | 33 (3.24%) | NiN |
LSA | 97.98 | 77 | 30 (2.99%) | VGG |
FGSM | 93.67 | 93 | 1024 (100%) | NiN |
FGSM | 90.93 | 90 | 1024 (100%) | VGG |
One-pixel | 72.85 | 75.02 | 1 (0.098%) | NiN |
One-pixel | 63.53 | 65.25 | 1 (0.098%) | VGG |
One-pixel | 68.71 | 79.4 | 1 (0.098%) | AllConv |