Machine Learning for Red Team Hackers - Dr Emmanuel Tsukerman - 書籍 - Independently Published - 9798675540396 - 2020年8月15日
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Machine Learning for Red Team Hackers

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NZ$ 60,50
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発送予定日 2026年1月2日 - 2026年1月14日
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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.

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2020年8月15日
ISBN13 9798675540396
出版社 Independently Published
ページ数 100
寸法 152 × 229 × 7 mm   ·   195 g
言語 英語  

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