Explaining Away Attacks Against Neural Networks

This notebook accompanies the blog post titled "Explaining Away Attacks Against Neural Networks" which can be found here.

The steps in the notebook are as follows:

• Load a pre-trained InceptionV3 model from pytorch
• Generate adversarial examples using an ImageNet image
• Generate explanations for the model's prediction via SHAP
• Compare SHAP value explanations between the original image and the adversarial image

The notebook uses Python 3.6 and relies on the following dependencies:

matplotlib==3.1.1
numpy==1.17.0
Pillow==6.1.0
scipy==1.3.0
shap==0.29.3
torch==1.1.0.post2
torchvision==0.3.0