search

Trusted-AI / adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
https://adversarial-robustness-toolbox.readthedocs.io/en/latest/
MIT License
4.93k stars 1.17k forks source link

Examples for tabular data #1222

Closed shreyakhandelwal07 closed 3 years ago

shreyakhandelwal07 commented 3 years ago

I am exploring ART for tabular data. But I cannot find examples of its application. Most examples seem to be centered around image data.

Could you please guide me to/include some examples where ART is being used to create adversarial examples for tabular data and to generate metrics for such attacks? It would be very helpful. Thanks.

beat-buesser commented 3 years ago

Hi @shreyakhandelwal07 Thank you very much for exploring ART!

This notebook contains examples for tabular data: imperceptible_attack_on_tabular_data.ipynb

It demonstrates the LowProFool attack, but most of ART's evasion attacks should be compatible with tabular data and might only need minor adjustments to the new dataset like the model's input shape, etc. Continuous data is fully supported whereas categorical data still needs manual preparations by the user, but we aim to improve support for categorical data in the near future.

shreyakhandelwal07 commented 3 years ago

Alright thank you @beat-buesser 👍 will check it out.