Table 2 Results of conducting the proposed attack on all convolutional network (AllConv) with different crossover strategies
From: Attacking convolutional neural network using differential evolution
Variant | Success rate (%) | Confidence (%) | Cost |
|---|---|---|---|
0.5/0.5/0.5 | 71.46 | 89.38 | 24.66 |
0.5/0.5/0.9 | 71.66 | 88.60 | 24.43 |
0.5/0.5/0.1 | 71.05 | 89.71 | 24.60 |
0.5/0.9/0.9 | 72.06 | 90.19 | 25.03 |
0.5/0.9/0.5 | 70.86 | 89.58 | 24.69 |
0.5/0.9/0.1 | 72.06 | 88.70 | 24.16 |
0.5/0.1/0.9 | 71.04 | 88.98 | 24.68 |
0.5/0.1/0.1 | 72.29 | 88.68 | 24.64 |
0.5/0.1/0.5 | 72.00 | 88.98 | 24.86 |