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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
Concepts
Author (1):
Rajvardhan Oak Rajvardhan Oak
Profile icon Rajvardhan Oak
LinkedIn
Rajvardhan Oak is a cybersecurity expert, researcher, and scientist with a focus on machine learning solutions to security issues such as fake news, malware, and botnets. He obtained his bachelor's degree from the University of Pune, India, and his master's degree from the University of California, Berkeley. He has served on the editorial committees of multiple technical conferences and journals. His work has been featured by prominent news outlets such as WIRED magazine and the Daily Mail. In 2022, he received the ISC2 Global Achievement Award for Excellence in Cybersecurity. He is based in the Seattle area and works for Microsoft as an applied scientist in the ads fraud division.
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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

Technical requirements

You can find the code files for this chapter on GitHub at https://github.com/PacktPublishing/10-Machine-Learning-Blueprints-You-Should-Know-for-Cybersecurity/tree/main/Chapter%204.

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Authors (1)

Profile icon Rajvardhan Oak
LinkedIn
Rajvardhan Oak is a cybersecurity expert, researcher, and scientist with a focus on machine learning solutions to security issues such as fake news, malware, and botnets. He obtained his bachelor's degree from the University of Pune, India, and his master's degree from the University of California, Berkeley. He has served on the editorial committees of multiple technical conferences and journals. His work has been featured by prominent news outlets such as WIRED magazine and the Daily Mail. In 2022, he received the ISC2 Global Achievement Award for Excellence in Cybersecurity. He is based in the Seattle area and works for Microsoft as an applied scientist in the ads fraud division.
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See other products by Rajvardhan Oak

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