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10 Machine Learning Blueprints You Should Know for Cybersecurity

You're reading from  10 Machine Learning Blueprints You Should Know for Cybersecurity

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781804619476
Pages 330 pages
Edition 1st Edition
Languages
Author (1):
Rajvardhan Oak Rajvardhan Oak
Profile icon Rajvardhan Oak

Table of Contents (15) Chapters

Preface 1. Chapter 1: On Cybersecurity and Machine Learning 2. Chapter 2: Detecting Suspicious Activity 3. Chapter 3: Malware Detection Using Transformers and BERT 4. Chapter 4: Detecting Fake Reviews 5. Chapter 5: Detecting Deepfakes 6. Chapter 6: Detecting Machine-Generated Text 7. Chapter 7: Attributing Authorship and How to Evade It 8. Chapter 8: Detecting Fake News with Graph Neural Networks 9. Chapter 9: Attacking Models with Adversarial Machine Learning 10. Chapter 10: Protecting User Privacy with Differential Privacy 11. Chapter 11: Protecting User Privacy with Federated Machine Learning 12. Chapter 12: Breaking into the Sec-ML Industry 13. Index 14. Other Books You May Enjoy

Study guide for machine learning and cybersecurity

In this section, we will cover some of the resources that can be used to understand machine learning and cybersecurity beyond what we have covered, expanding your knowledge in these areas.

Machine learning theory

Here are a few resources where you can study data science and machine learning:

  • Andrew Ng’s YouTube channel (available as a playlist of videos on YouTube: https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN): Andrew Ng is a professor of computer science at Stanford University. His machine learning course (made originally for Coursera) is world-famous. This course explains machine learning from the very basics, in clear and concise terms. You will learn about linear and logistic regression, gradient descent, and neural networks. The course explains the basics as well as the math behind it, with simple examples. All of the exercises in the course are in Matlab; however, you can try and...
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