Skip to content

FaramirHurin/Assessing-adversarial-attacks-in-real-world-fraud-detection

Repository files navigation

Assessing-adversarial-attacks-in-real-world-fraud-detection

To prepare the code, first download the MLG Kaggle dataset at https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud ad store it into the 'Classes/Datasets' folder and run the 'preprocess_datasets.ipynb' file. Then, run the 'main_file' to run the experiments and store the results.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published