Table 3 This table illustrates the accuracy of deep learning models under varying sizes of datasets and quantities of perturbed points
From: Attack based on data: a novel perspective to attack sensitive points directly
Dataset name | Accuracy | Proportion | Number of perturbed points | ||||
|---|---|---|---|---|---|---|---|
2 | 3 | 5 | 7 | 10 | |||
Adiac | 83.12 | 1.0 | 59.56 | 61.95 | 34.34 | 42.34 | 32.25 |
0.8 | 59.9 | 62.05 | 35.27 | 43.18 | 32.48 | ||
0.5 | 68.57 | 66.79 | 35.79 | 43.94 | 35.25 | ||
0.3 | 68.8 | 67.26 | 45.78 | 43.99 | 39.9 | ||
Car | 93.33 | 1.0 | 83.34 | 84.26 | 73.87 | 79.48 | 88.5 |
0.8 | 92.28 | 85.07 | 82.19 | 80.27 | 89.11 | ||
0.5 | 92.73 | 92.75 | 85.59 | 80.49 | 89.92 | ||
0.3 | 93.33 | 93.33 | 90 | 90 | 90 | ||
ECGFiveDays | 96.17 | 1.0 | 89.61 | 79.37 | 82.37 | 73.46 | 62.12 |
0.8 | 90.19 | 83.73 | 85.68 | 78.8 | 69.04 | ||
0.5 | 90.48 | 89.66 | 85.94 | 79.17 | 73.12 | ||
0.3 | 92.92 | 89.9 | 86.06 | 83.39 | 81.65 | ||
FaceAll | 85.50 | 1.0 | 81.74 | 77.09 | 74.95 | 78.73 | 81.6 |
0.8 | 82.4 | 80.16 | 82.46 | 78.75 | 81.65 | ||
0.5 | 83.21 | 81.06 | 82.68 | 78.89 | 81.89 | ||
0.3 | 84.2 | 83.79 | 83.31 | 83.02 | 82.43 | ||
FISH | 97.71 | 1.0 | 97.64 | 79.51 | 93.9 | 84.57 | 89.05 |
0.8 | 97.88 | 80.22 | 94.43 | 90.24 | 89.82 | ||
0.5 | 98.02 | 88.97 | 96.64 | 90.63 | 89.93 | ||
0.3 | 98.29 | 98.29 | 97.14 | 93.71 | 90.86 | ||
Meat | 98.33 | 1.0 | 77.73 | 79.95 | 73.74 | 67.07 | 58.38 |
0.8 | 78.42 | 80.83 | 74.56 | 67.87 | 63.68 | ||
0.5 | 82.95 | 81.24 | 74.63 | 74.87 | 65.98 | ||
0.3 | 91.67 | 81.67 | 75 | 75 | 75 | ||
MedicalImages | 76.18 | 1.0 | 64.29 | 66.22 | 59.95 | 54.67 | 50.25 |
0.8 | 65.23 | 70.87 | 60.48 | 55.38 | 50.99 | ||
0.5 | 75.05 | 71.82 | 60.67 | 56.14 | 54.85 | ||
0.3 | 75.39 | 72.5 | 65.26 | 61.05 | 56.97 | ||
PhalangesOutlinesCorrect | 85.66 | 1.0 | 77.41 | 68.75 | 49.22 | 46.01 | 46.97 |
0.8 | 78.35 | 69.01 | 58.8 | 46.05 | 47.89 | ||
0.5 | 80.92 | 69.76 | 59.56 | 51.5 | 48.42 | ||
0.3 | 81.35 | 72.96 | 60.02 | 51.98 | 48.95 | ||
Strawberry | 96.25 | 1.0 | 86.07 | 81.26 | 77.76 | 77.09 | 78.84 |
0.8 | 93.52 | 91.15 | 81.25 | 78.03 | 79.49 | ||
0.5 | 94.22 | 91.8 | 85.91 | 82.77 | 80.22 | ||
0.3 | 94.78 | 91.84 | 88.09 | 83.2 | 80.91 | ||
SwedishLeaf | 95.36 | 1.0 | 94.53 | 88.69 | 82.86 | 79.27 | 77.05 |
0.8 | 94.6 | 89.16 | 92.11 | 89.25 | 77.68 | ||
0.5 | 94.72 | 89.61 | 92.58 | 89.42 | 82.53 | ||
0.3 | 94.72 | 94.4 | 92.96 | 90.08 | 86.72 | ||