Accuracy is not enough: a heterogeneous ensemble model versus FGSM attack
Abstract In this paper, based on facial landmark approaches, the possible vulnerability of ensemble algorithms to the FGSM attack has been assessed using three commonly used models: convolutional neural network-based antialiasing (A_CNN), Xc_Deep2-based DeepLab v2, and SqueezeNet (Squ_Net)-based Fir...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2024-08-01
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| Serie: | Complex & Intelligent Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s40747-024-01603-z |
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