Machine Learning for Red Team Hackers

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Machine Learning for Red Team Hackers (Size: 1.7 GB)
  1. Intro - Adversarial Machine Learning.mp4 22.6 MB
  1. Intro - Adversarial Machine Learning.srt 2.4 KB
  1. Intro - CAPTCHA Breaking.mp4 3.9 MB
  1. Intro - CAPTCHA Breaking.srt 409.6 B
  1. Intro - Evading Machine Learning Malware Classifiers.mp4 25.5 MB
  1. Intro - Evading Machine Learning Malware Classifiers.srt 1.9 KB
  1. Intro - What Is Deepfake.mp4 38.5 MB
  1. Intro - What Is Deepfake.srt 4.6 KB
  1. Intro - What Is Fuzzing.mp4 23.6 MB
  1. Intro - What Is Fuzzing.srt 1.4 KB
  1. Introduction to Course Content.mp4 36.9 MB
  1. Introduction to Course Content.srt 2.2 KB
  1. Model Stealing Attacks On ML.mp4 34.4 MB
  1. Model Stealing Attacks On ML.srt 8.6 KB
  2. Basic Fuzzing And Code Coverage.mp4 56.8 MB
  2. Basic Fuzzing And Code Coverage.srt 11.4 KB
  2. Code Repository.html 204.8 B
  2. Deepfake Crime.html 307.2 B
  2. Machine Learning Poisoning.mp4 55 MB
  2. Machine Learning Poisoning.srt 6.3 KB
  2. Meet A Machine Learning Malware Classifier.mp4 77.6 MB
  2. Meet A Machine Learning Malware Classifier.srt 5.3 KB
  2. Reconnaissance.mp4 28.4 MB
  2. Reconnaissance.srt 3.5 KB
  2. White-Box Attacks On Machine Learning.mp4 53.3 MB
  2. White-Box Attacks On Machine Learning.srt 7.8 KB
  3. Backdoor Attacks On ML.mp4 26.8 MB
  3. Backdoor Attacks On ML.srt 2.8 KB
  3. Constructing A Dataset.mp4 63.9 MB
  3. Constructing A Dataset.srt 7.5 KB
  3. Deepfake Dry Run.mp4 148.2 MB
  3. Deepfake Dry Run.srt 20.5 KB
  3. Getting Started With Clarif.AI.mp4 31.3 MB
  3. Getting Started With Clarif.AI.srt 2.7 KB
  3. Modifying PE Files The Easy Way.mp4 18.9 MB
  3. Modifying PE Files The Easy Way.srt 3.8 KB
  3. Mutation.mp4 60.5 MB
  3. Mutation.srt 9.4 KB
  4. Backdoor Attacks On ML Assignment.html 102.4 B
  4. Black-Box Attack On Clarif.AI.mp4 179.3 MB
  4. Black-Box Attack On Clarif.AI.srt 26.1 KB
  4. Evading A Machine Learning Malware Classifier.mp4 91.8 MB
  4. Evading A Machine Learning Malware Classifier.srt 11 KB
  4. How To Write Your Own Evolutionary Fuzzer.mp4 125.9 MB
  4. How To Write Your Own Evolutionary Fuzzer.srt 20.4 KB
  4. Preprocessing The Dataset.mp4 171.8 MB
  4. Preprocessing The Dataset.srt 21.8 KB
  4. Setting Up Your Deepfake Rig.mp4 84.8 MB
  4. Setting Up Your Deepfake Rig.srt 9.8 KB
  5. Deepfake Assignment.mp4 5.9 MB
  5. Deepfake Assignment.srt 307.2 B
  5. EvadeMe.mp4 7.6 MB
  5. EvadeMe.srt 614.4 B
  5. Fuzzing With AFL.mp4 113.4 MB
  5. Fuzzing With AFL.srt 6.7 KB
  5. Seagate Expansion Desktop 10TB External Hard Drive HDD - USB 3.0.html 102.4 B
  5. Training A Deep Neural Network.mp4 86.9 MB
  5. Training A Deep Neural Network.srt 13.2 KB
  5. TrickMe.mp4 13.7 MB
  5. TrickMe.srt 819.2 B
  6. Building A CAPTCHA Breaking Bot.mp4 41.3 MB
  6. Building A CAPTCHA Breaking Bot.srt 6.1 KB
  6. Deepfake Assignment.html 102.4 B
  6. FuzzMe.html 102.4 B
  7. FoolMe.html 102.4 B
  7. You Can Boost Brain Power.html 102.4 B
  ▲ 66 total files

Description


Quote:

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without “Them”, you and we won’t be here having this conversation. Think about it! ☮️ Peace.✌️


Code:

What you'll learn
Learn how to make your fuzzing intelligent using AI
Learn how to evade machine learning malware classifiers
Learn how to perform adversarial attacks on machine learning
Learn how to break CAPTCHAs using machine learning
Learn how to create Deepfakes
Learn how to backdoor, poison and steal ML models
Requirements
Familiarity with Python
You will get more out of the course if you are familiar with blue team machine learning tactics (covered in Cybersecurity Data Science)
Description
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 course finally teaches you how to do and defend against all these things.

This course 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.
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.
I wish this course was for everyone but unfortunately it just ain’t so. You should enroll only if you are really passionate about computer security and want to be the best at what you do. This course will challenge you and introduce you to new ideas. It will offer you fun hands-on assignments that will require you to bypass CAPTCHA challenges, get your hands dirty and modify malware, fuzz a secretly-vulnerable program, trick a commercially-available machine learning as a service and create a realistic fake video. If this sounds exciting for you, then click the enroll button to get started!
Frequently Asked Questions And Answers

1. I’m not confident about my (python/cybersecurity/ML) skills.

We make it really easy to follow along (line-by-line, concept-by-concept) and believe you will learn a ton by enrolling in the course.
Here’s what one of our past students had to say:
"I found Emmanuel to be a likable easy to follow along with instructor..."

"I recently took Cybersecurity Data Science by Emmanuel Tsukerman. This was the first course I have ever seen to combine 2 of my passions (cyber security and data science). This was also my first exposure to Emmanuel. For whatever reason there is a clear scarcity of content on this topic. This is strange because cybersecurity produces so much data.

I really enjoyed the content, it was enough to give you a good overview of the topics he covers. I especially appreciate him teaching how to create a lab. Although I already had an idea how to do this it was great to see how an actual pro does it.

Overall it is a classic Udemy course: short and touching on a little bit of a lot topics just to give you a taste. I found Emmanuel to be a likable easy to follow along with instructor who has some good choice in music. I would definitely purchase another course that he teaches and I hope he will put out more CyberSecurity data content. The world is lacking in it and he is an expert. Thanks for reading!"

-Leon R., cybersecurity data scientist, BNY Mellon
If you find the course too challenging, we offer a 100% get-all-your-money-back guarantee within 30 days.
2. Where can I turn for help if I am stuck on some question/bug/concept?

Getting stuck on a challenge happens to all of us. If you have a question about the course, we provide you with a Q&A platform, where you can get your questions answered by the instructor or a classmate.
Here is what one of our former students had to say about our courses:
"This course is well suited for both beginners and experienced individuals who wish to explore this area of application."

- Olatunji O., Security Architect, IBRD
In case you find the course too challenging, we offer a 100% get-all-your-money-back guarantee within 30 days.

Don't get left behind - learn the tools of the future now in the Machine Learning for Red Team Hackers Course! Enroll to get started now.

Who this course is for:
Cybersecurity professionals and hobbyists looking to learn the next-generation of attack techniques
Data Scientists interested in learning use-cases of machine learning in cybersecurity

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