Research Article
Research on Multimodality Face Antispoofing Model Based on Adversarial Attacks
Table 4
The accuracy of the model before and after adding the defence module to the Depth images.
| | The original authors’ pretrained model (%) | After adding the diffusible high-frequency suppression (%) | After using the mixed adversarial training (%) | Combination of the high-frequency suppression module and the mixed adversarial training (%) |
| Original | 98.5 | 88.3 | 93.65 | 90.3 | FGSM 0.01 | 63.9 | 70.2 | 82.3 | 89.7 | DeepFool | 4.9 | 50.8 | 64.5 | 76.6 | NATTACK | 7.6 | 55.98 | 91.2 | 84.5 |
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