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@bethgelab @kalekiu

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  1. bethgelab/foolbox bethgelab/foolbox Public

    A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

    Python 2.8k 426

  2. brendel-group/causal-understanding-via-visualizations brendel-group/causal-understanding-via-visualizations Public

    Official repository for the paper "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?".

    JavaScript 8 3

  3. brendel-group/cl-ica brendel-group/cl-ica Public

    Code for the paper "Contrastive Learning Inverts the Data Generating Process".

    Python 88 10

  4. bethgelab/testing_visualizations bethgelab/testing_visualizations Public archive

    Code for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"

    Python 10 2

  5. shift-happens-benchmark/icml-2022 shift-happens-benchmark/icml-2022 Public

    Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)

    Python 37 17

  6. google-research/active-adversarial-tests google-research/active-adversarial-tests Public

    Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"

    Python 17 3