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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

Understanding business threats

Business software solutions have become more complex over the years and so have the security threats facing them. Many businesses run a hybrid setup today where part of the business software resides locally on a network (some of which forms a private cloud-based configuration) and the other part is hosted online as one of the “as a service” options, such as Platform as a Service (PaaS). Consequently, security often comes in layers for businesses.

Traditional security is a starting point for the local part of the infrastructure and service-level security is part of the cloud-based component. The Cloud Adoption Statistics for 2021 article at https://hostingtribunal.com/blog/cloud-adoption-statistics/ is enlightening because it shows that, even if you consider only the cloud component of an organization, 69 percent rely on a hybrid solution for their cloud presence, and that some organizations leverage up to 5 different hosting solutions...

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