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Mastering Machine Learning for Penetration Testing
book

Mastering Machine Learning for Penetration Testing

by Chiheb Chebbi
June 2018
Intermediate to advanced
276 pages
6h 26m
English
Packt Publishing
Content preview from Mastering Machine Learning for Penetration Testing

Deep-pwning

Deep-pwning is a lightweight framework for experimenting with machine learning models, with the goal of evaluating their robustness against a motivated adversary. It is called the metasploit of machine learning. You can clone it from the GitHub repository at https://github.com/cchio/deep-pwning.

Don't forget to install all of the requirements:

pip install -r requirements.txt

The following are the Python libraries required to work with Deep-pwning:

  • Tensorflow 0.8.0
  • Matplotlib >= 1.5.1
  • Numpy >= 1.11.1
  • Pandas >= 0.18.1
  • Six >= 1.10.0
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Publisher Resources

ISBN: 9781788997409