Generating Band-Limited Adversarial Surfaces Using Neural Networks

Generating adversarial examples is the art of creating a noise that is added to an input signal of a classifying neural network, and thus changing the network’s classification, while keeping the noise as tenuous as possible.

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Cite this as

Roee Ben-Shlomo, Yevgeny Men, Ido Imanuel (2024). Dataset: Generating Band-Limited Adversarial Surfaces Using Neural Networks. https://doi.org/10.57702/txdpjnfa

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2111.07424
Author Roee Ben-Shlomo
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Yevgeny Men
Ido Imanuel
Homepage https://github.com/roeebs/CRML-GiP-Project-Booklet