Machine Learning for Red Team Hackers - Dr Emmanuel Tsukerman - Bücher - Independently Published - 9798675540396 - 15. August 2020
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Machine Learning for Red Team Hackers

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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.

Medien Bücher     Taschenbuch   (Buch mit Softcover und geklebtem Rücken)
Erscheinungsdatum 15. August 2020
ISBN13 9798675540396
Verlag Independently Published
Seitenanzahl 100
Maße 152 × 229 × 7 mm   ·   195 g
Sprache Englisch  

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