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

Who this book is for

This book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether you’re a beginner or an experienced professional, this book offers a unique and valuable learning experience that’ll help you develop the skills needed to protect your network and data against the ever-evolving threat landscape.

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