June 2018
Intermediate to advanced
276 pages
6h 26m
English
Content preview from Mastering Machine Learning for Penetration Testing
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Adversarial clustering
Clustering techniques are widely used in many real-world applications. Attackers are coming up with new techniques to attack clustering models. One of them is adversarial clustering, wherein the attackers manipulate the input data (adding a small percentage of attack samples), so that the newly added sample can hide within the existing clusters.
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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.