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Implement CIFAR-10 #5

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opened 2024-02-29 13:17:33 -05:00 by Adog64 · 1 comment
Adog64 commented 2024-02-29 13:17:33 -05:00
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The effectiveness of FMSM may be obscured due to the shallow nature of the MNIST classifier architecture. Implementing the CIFAR-10 classifier will allow for evaluation on a deeper model.

The effectiveness of FMSM may be obscured due to the shallow nature of the MNIST classifier architecture. Implementing the CIFAR-10 classifier will allow for evaluation on a deeper model.
Adog64 added this to the Denoising Filter as a Defense project 2024-02-29 13:17:33 -05:00
Adog64 commented 2024-05-01 00:55:45 -04:00
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Implemented with VGG16 and tested with FGSM

Implemented with VGG16 and tested with FGSM
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Reference: Adog64/Adversarial-Machine-Learning-Clinic#5
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