Litcius/Paper detail

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

Jonas Rauber, R. Zimmermann, Matthias Bethge, Wieland Brendel

2020The Journal of Open Source Software161 citationsDOIOpen Access PDF

Abstract

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

Topics & Concepts

Robustness (evolution)Benchmark (surveying)Artificial intelligenceComputer scienceAdversarial systemMachine learningDeep learningCartographyGeographyChemistryGeneBiochemistryAdversarial Robustness in Machine LearningCardiac Arrest and Resuscitation
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