Research Article
Robustness and Explainability of Image Classification Based on QCNN
Table 3
QCNN accuracy against different adversarial attacks.
| Types | FGSM | CW | JSMA | DeepFool |
| Attacks | 0.8906 | 0.8906 | 0.8438 | 0.8750 | Bitplane1 | 0.7498 | 0.7465 | 0.7599 | 0.7364 | Bitplane2 | 0.7236 | 0.7283 | 0.7681 | 0.7826 | Bitplane3 | 0.7942 | 0.7563 | 0.8013 | 0.7169 | Bitplane4 | 0.8045 | 0.7954 | 0.7842 | 0.7765 | Bitplane5 | 0.9219 | 0.8112 | 0.8750 | 0.8906 | Bitplane6 | 0.8906 | 0.9219 | 0.7188 | 0.9375 | Bitplane7 | 0.9375 | 0.9062 | 0.8728 | 0.9062 | Bitplane8 | 0.9531 | 0.7656 | 0.8594 | 0.9219 |
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