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GitHub / AlbertMillan / adversarial-training-pytorch

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

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Stars: 23
Forks: 5
Open Issues: 0

License: mit
Language: Python
Repo Size: 124 KB
Dependencies: 0

Created: about 4 years ago
Updated: over 1 year ago
Last pushed: about 4 years ago
Last synced: about 1 year ago

Topics: adversarial, adversarial-attacks, adversarial-training, fgsm, pgd, pytorch

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