Publication
J. Rauber,
R. Zimmermann,
M. Bethge, and
W. Brendel
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX
Journal of Open Source Software, 5(53), 2607, 2020
URL, DOI, BibTex
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX
Journal of Open Source Software, 5(53), 2607, 2020
URL, DOI, BibTex
Reference
@article{rauber2020foolboxnative,
author = "J. Rauber and R. Zimmermann and M. Bethge and W. Brendel",
title = "Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX",
year = 2020,
journal = "Journal of Open Source Software",
volume = 5,
number = 53,
pages = "2607",
month = "Sep",
doi = "10.21105/joss.02607",
url = "https://joss.theoj.org/papers/10.21105/joss.02607"
}
