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Machine Learning Security Principles

You're reading from   Machine Learning Security Principles Keep data, networks, users, and applications safe from prying eyes

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618851
Length 450 pages
Edition 1st Edition
Languages
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Author (1):
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John Paul Mueller John Paul Mueller
Author Profile Icon John Paul Mueller
John Paul Mueller
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1 – Securing a Machine Learning System
2. Chapter 1: Defining Machine Learning Security FREE CHAPTER 3. Chapter 2: Mitigating Risk at Training by Validating and Maintaining Datasets 4. Chapter 3: Mitigating Inference Risk by Avoiding Adversarial Machine Learning Attacks 5. Part 2 – Creating a Secure System Using ML
6. Chapter 4: Considering the Threat Environment 7. Chapter 5: Keeping Your Network Clean 8. Chapter 6: Detecting and Analyzing Anomalies 9. Chapter 7: Dealing with Malware 10. Chapter 8: Locating Potential Fraud 11. Chapter 9: Defending against Hackers 12. Part 3 – Protecting against ML-Driven Attacks
13. Chapter 10: Considering the Ramifications of Deepfakes 14. Chapter 11: Leveraging Machine Learning for Hacking 15. Part 4 – Performing ML Tasks in an Ethical Manner
16. Chapter 12: Embracing and Incorporating Ethical Behavior 17. Index 18. Other Books You May Enjoy

Defending against Hackers

Previous chapters have addressed a wide variety of threats and an even wider variety of threat sources. Most people would be having full-on bouts of paranoia about now! The fact is that these threats and threat sources are real, but most of them become a threat source as a secondary matter. For example, an employee doesn’t normally join your organization with the thought of stealing as much as possible from you and then running away. The very few employees that actually do steal something and then run away do it later after they have been in your business for a while. Hackers, on the other hand, start out with the idea of stealing, damaging, or monitoring something in your business. They’ve never had any other idea in mind. The orientation and priority of the attack are why defending against hackers is different from defending against other threats and why the separate treatment in this chapter is important.

Of course, hackers are not superhuman...

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