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advex_tutorial's Introduction

Notebooks and helpers for the "Adversaries examples & human-ML alignment" tutorial.

Exercise notebook

Solution notebook

Based on the following works

[IST+19] Ilyas A., Santurkar S., Tsipras D., Engstrom L., Tran B., Madry A. (2019). Adversarial Examples Are Not Bugs, They Are Features. arXiv, arXiv:1905.02175

[EIS+19] Engstrom L., Ilyas A., Santurkar S., Tsipras D., Tran B., Madry A. (2019). Learning Perceptually-Aligned Representations via Adversarial Robustness. arXiv, arXiv:1906.00945

[STE+19] Santurkar S., Tsipras D., Tran B., Ilyas A., Engstrom L., Madry A. (2019). Image Synthesis with a Single (Robust) Classifier. arXiv, arXiv:1906.09453

[EIS+19] Robustness (Python Library) (2019); https://github.com/MadryLab/robustness.

Citation

If you use this material or code, please cite it as follows:

@misc{santurkar2020notes,
   title={Adversarial examples and human-ML alignment (MIT BCS tutorial)},
   author={Shibani Santurkar and Dimitris Tsipras},
   year={2020},
   url={https://github.com/MadryLab/BCS_Tutoria}
}

Contributors

advex_tutorial's People

Contributors

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advex_tutorial's Issues

How to load the image datasets?

When executing the code blocks:

in_dataset, in_loaders, normalization_function, label_map_IN = utils.load_dataset('imagenet',
                                                                 batch_size=5,
                                                                 num_workers=1)

There is an error of:
RuntimeError: Found 0 files in subfolders of ./data\train

Which datasets are we required to download for the code's execution?
Are we supposed to create the subfolders manually or automatically?

Thanks and Best wishes,

Haocheng

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