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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

Using anomaly detection effectively in ML

Everyone has their own opinion of how to work effectively with ML; they can even back up their opinion with favorable statistics. Making things worse, you can find new techniques appearing on a daily basis, adding to the already burgeoning pile of strategies that will likely work within a certain range of probability. The one word that you need to keep in mind is effective. An anomaly detection strategy is only effective if you can use it regularly, and therein lies the problem for most overworked security professionals. So, here are some methods you can employ to make whatever ML strategy you use to detect anomalies effective:

  • Ensure you actually use the strategy on a regular basis; daily is best
  • Use the simplest approach that will work for your organization and you as an individual
  • Look for anomalies that are actually likely to affect your organization
  • Keep in mind that most anomalies will end up being novelties that you...
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