PhD candidate in Machine Learning, previously @google
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University of Tübingen
- Tübingen
- rzimmermann.com
Highlights
- Pro
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bethgelab/foolbox
bethgelab/foolbox PublicA Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
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brendel-group/causal-understanding-via-visualizations
brendel-group/causal-understanding-via-visualizations PublicOfficial repository for the paper "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?".
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brendel-group/cl-ica
brendel-group/cl-ica PublicCode for the paper "Contrastive Learning Inverts the Data Generating Process".
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bethgelab/testing_visualizations
bethgelab/testing_visualizations Public archiveCode for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"
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shift-happens-benchmark/icml-2022
shift-happens-benchmark/icml-2022 PublicCrowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)
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google-research/active-adversarial-tests
google-research/active-adversarial-tests PublicOfficial implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"
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