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Adversarial Training for Binary Classification

The dataset used in this paper is a binary classification dataset, where the goal is to train a classifier that can robustly classify data points in the presence of adversarial attacks.

Data and Resources

Cite this as

Leon Bungert, Tim Laux, Kerrek Stinson (2024). Dataset: Adversarial Training for Binary Classification. https://doi.org/10.57702/7xfcg8sn

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.2404.14402
Author Leon Bungert
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Tim Laux
Kerrek Stinson