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

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781804618851

Length 450 pages

Edition 1st Edition

Languages

Python

Tools

Google cloud buildpack

Concepts

Machine Learning

Author (1):

John Paul Mueller

View More author details

Table of Contents (19) Chapters

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

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Considering social threats

Social threats affect individuals the most. A social threat is something that entices the user to perform a risky behavior or compromises the individual in some way. Here are a few ideas to consider:

Social media: A user is enticed to do things such as discuss company policies or strategies in the interest of being social.
Ads: Someone presents an ad that discusses some new swanky product, but the ad ends up compromising the individual in some way, such as providing access to a social media account, a shopping site, or even your local network. ML makes it possible to create convincing ads based on actual buyer shopping habits.
Utilities: A special tool allows the individual to do something interesting, such as changing the color of their Facebook site. You find utilities all over the place because people naturally want to fiddle with whatever it is that they think requires an update or change. A utility can plant a Trojan on the individual...