It is finally here! A Little Book On Adversarial AI - Get a FREE PDF Copy

Download a copy here: 

Download File: Little Note[Book] on Adversarial AI - Nik Alleyne.pdf

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Over the past few months, I have been working on expanding my knowledge on Adversarial AI. Rather than putting together a bunch of blog posts, I decided to consolidate everything into one book.  

Along with this book, there are 63 labs, focusing on Adversarial AI and other aspects of machine and deep learning. These labs are released as Jupyter Notebooks, which are hosted at my GitHub repo dedicated to this book. 

As much as possible this book is self-contained. Nonetheless, the following background is important for readers to get the most out of this book and its associated Jupyter Notebooks. Note I am using Jupyter as part of VSCode. An intermediate knowledge and understanding of python. If you have already dabbled with building machine learning models and or have written a few scripts to solve your automation tasks or taken the SANS SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals , then you should be good to go.

Alternatively, if you have not done any prior work with building machine learning models, my series on Beginning Machine and Deep Learning with Zeek logs is a good place to start. There is a lot of content there to get you up to speed relatively fast.

With that said, I’ve made every effort to add the necessary comments to the code, so that we are all clear on what the code is doing. 

Have fun learning!