amiratag / InterpretationFragility

Interpretation of Neural Network is Fragile

InterpretationFragility

Code for implementation of Interpretation of Nueral Network is Fragile..

Please cite the following work if you use this benchmark or the provided tools or implementations:

@inproceedings{ghorbani2019interpretation,
  title={Interpretation of neural networks is fragile},
  author={Ghorbani, Amirata and Abid, Abubakar and Zou, James},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={33},
  pages={3681--3688},
  year={2019}
}

Authors

• Amirata Ghorbani - Website
• Abubakar Abid - Website
• James Zou - Website

License

This project is licensed under the MIT License - see the LICENSE.md file for details

The large scale results of attack methods against four famous feature-attribution methods

Examples of targeted attack for semantically meaningful change in feature-importance

Attack examples on Deep Taylor Decomposition