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Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

著者: Jonas Rauber, Roland Zimmermann, Matthias Bethge, Wieland Brendel - The Journal of Open Source Software 2020 被引用: 161

Rauber et al., (2020). 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, https://doi.org/10.21105/joss.02607

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX | Litlas