Torchattacks: A PyTorch Repository for Adversarial Attacks

doi:doi:10.57702/c054x6rf

Torchattacks: A PyTorch Repository for Adversarial Attacks

Torchattacks is a PyTorch library that contains adversarial attacks to generate adversarial examples and to verify the robustness of deep learning models.

Data and Resources

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Hoki Kim (2024). Dataset: Torchattacks: A PyTorch Repository for Adversarial Attacks. https://doi.org/10.57702/c054x6rf

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2010.01950
Author	Hoki Kim
Homepage	https://github.com/Harry24k/adversarial-attacks-pytorch