June 2018
Intermediate to advanced
276 pages
6h 26m
English
Content preview from Mastering Machine Learning for Penetration Testing
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Adversarial machine learning
Adversarial machine learning is the art of studying how to break and secure machine learning models. You can consider it an intersection between machine learning and information security. As a security professional, learning how to build defensive layers with machine learning is important, but knowing how to break them is also an amazing addition to your skill set:
In 2006, Barreno, et al., proposed a taxonomy for the threat models against machine learning systems. The model is based on three axes:
- Influence
- Security violations
- Specificity
In 2011, the model was extended by Huang, et al., to include another ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.