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

Why subscribe?

18. Other Books You May Enjoy

Considering the Ramifications of Deepfakes

Deepfakes have received more than a little press over the last few years because everyone thinks it’s pretty amazing when Diep Nep becomes Morgan Freeman (https://www.youtube.com/watch?v=oxXpB9pSETo). Yes, deepfakes (also known as synthetic reality) have some fantastic uses for both work and pleasure. However, the technology also represents one of the most terrifying security issues for users of deep learning today. How can you trust anything said by anyone during a video chat when you can’t even be sure you’re talking with the person in question, rather than a hacker? That video security system with facial recognition that your organization just purchased is completely worthless when it comes to deepfakes because it’s possible now to create fake faces (https://www.theverge.com/tldr/2019/2/15/18226005/ai-generated-fake-people-portraits-thispersondoesnotexist-stylegan). Any thoughts you had of using biometric authentication...