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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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Toc

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access control

implementing 125-127

Account Takeover (ATO) attack 243

ACK (acknowledge) 136

adaptive authentication 127

advanced persistent threat (APT) 366

adversarial attacks 17

seeing, in action 77, 78

adversarial malware examples (AMEs) 362

GAN problems, mitigating 362, 363

mitigation technique, defining based on 364

used, by hackers 364, 365

adversarial ML 52

attack vectors, categorizing 52

hacker mindset, examining 53, 54

Adversarial Robustness Toolbox 81

adware 198

agent 10

aggregate location data 34

air-gapped computers

accessing, methods 360, 361

problems with security, defining through 360, 361

Akamai

reference link 55

algorithmic bias

defining 397

algorithm modification 270

Amazon Fraud Detector

reference...

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