Download the fantastic book titled Machine Learning for Red Team Hackers written by Dr Emmanuel Tsukerman, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning for Red Team Hackers", which was released on 15 August 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the genre.
Summary of Machine Learning for Red Team Hackers by Dr Emmanuel Tsukerman PDF
Everyone knows that AI and machine learning are the future of penetration testing. Large cybersecurity enterprises talk about hackers automating and smartening their tools; The newspapers report on cybercriminals utilizing voice transfer technology to impersonate CEOs; The media warns us about the implications of DeepFakes in politics and beyond...This book finally teaches you how to use Machine Learning for Penetration Testing.This book will be teaching you, in a hands-on and practical manner, how to use the Machine Learning to perform penetration testing attacks, and how to perform penetration testing attacks ON Machine Learning systems. It will teach you techniques that few hackers or security experts know about.You will learn- how to supercharge your vulnerability fuzzing using Machine Learning.- how to evade Machine Learning malware classifiers.- how to perform adversarial attacks on commercially-available Machine Learning as a Service models.- how to bypass CAPTCHAs using Machine Learning.- how to create Deepfakes.- how to poison, backdoor and steal Machine Learning models.And you will solidify your slick new skills in fun hands-on assignments.
Detail About Machine Learning for Red Team Hackers PDF
- Author : Dr Emmanuel Tsukerman
- Publisher : Independently Published
- Genre :
- Total Pages : 100 pages
- ISBN :
- Release Date : 15 August 2020
- PDF File Size : 44,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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