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Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, C.-B. Schönlieb
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LICENSE
README.md
adv_reg_experiment.py
dataset.py
dataset_paths.ini
diff_ops.py
fwt.py
imagenet_data.py
imagenet_example.ini
imagenet_labels.csv
mnist_data.py
mnist_example.ini
preprocessing.py
resnet50.py
robust_model.py
smallnet.py
summary_utils.py
training.py
utils.py

README.md

Description

Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, C.-B. Schönlieb, accepted at ICML 2019.

More in-depth documentation to follow.

Execution

It can be run by executing e.g.

python3 adv_reg_experiment.py imagenet_example.ini

This code was tested using the following libraries in Python 3.6:

Tensorflow 1.11

Foolbox 1.8.0

Keras 2.2.2

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