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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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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

Considering fraud that occurs in the background

Niccolo Machiavelli, the person from whose name the term Machiavellian is derived, is one of those individuals who observed human nature with great patience and in great depth in many cases. Unlike the perception that many have of him being a scoundrel of the worst sort, he was a philosopher who saw human nature as it was at the time when it came to politics. Background fraud is often Machiavellian in nature. It has an “ends justifies the means” view of the world and can be utterly immoral in its approach to obtaining some goal through the use of deception. In other words, yelling that something isn’t fair is unlikely to garner any sort of response in this situation. The following sections define the kinds of background fraud and how to detect it.

Detecting fraud that occurs when you’re not looking

There are many different definitions for the difference between background, or long-term, fraud and real...

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