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Home / Courses / Machine Learning for Red Team Hackers
  • Introduction
    3
    • Introduction to Course Content
    • Code Repository
    • Written Guide
  • Hacking CAPTCHA Systems
    7
    • Intro – CAPTCHA breaking
    • Reconnaissance
    • Constructing a Dataset
    • Preprocessing the Dataset
    • Training a Deep Neural Network
    • Building a CAPTCHA Breaking Bot
    • FoolMe
  • Smart Fuzzing
    6
    • Intro – What Is Fuzzing
    • Basic Fuzzing and Code Coverage
    • Mutation
    • How to Write Your Own Evolutionary Fuzzer
    • Fuzzing with AFL
    • FuzzMe
  • Evading Machine Learning Malware Classifiers
    5
    • Intro – Evading Machine Learning Malware Classifiers
    • Meet a Machine Learning Malware Classifier
    • Modifying PE Files the Easy Way
    • Evading a Machine Learning Malware Classifier
    • EvadeMe
  • Adversarial Machine Learning
    5
    • Intro – Adversarial Machine Learning
    • White-Box Attacks on Machine Learning
    • Getting Started with Clarif.AI
    • Black-Box Attack on Clarif.AI
    • TrickMe
  • DeepFake
    5
    • Intro – What Is DeepFake
    • DeepFake Crime
    • DeepFake Dry Run
    • Setting Up Your DeepFake Rig
    • FakeMe
  • Hacking Machine Learning
    4
    • Model Stealing Attacks on ML
    • Machine Learning Poisoning
    • Backdoor Attacks on ML
    • PoisonMe

Machine Learning for Red Team Hackers

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