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Adversarial attack demo for the "Cybersecurity for data science" course.

License: MIT License

Jupyter Notebook 88.57% Python 11.43%
adversarial-attacks data-science deep images learning machine-learning python

cybersecurity_for_data_science's Introduction

Adversarial attack demo for the "Cybersecurity for data science" course.

Author:

Gianmarco Russo

Data Science @ University of Milan-Bicocca.

Colab build using the fast gradient method and projected gradient method in cleverhans(tensorflow variant).

References: https://github.com/cleverhans-lab/cleverhans

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