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Threat Modeling Gameplay with EoP

You're reading from   Threat Modeling Gameplay with EoP A reference manual for spotting threats in software architecture

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781804618974
Length 256 pages
Edition 1st Edition
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Author (1):
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Brett Crawley Brett Crawley
Author Profile Icon Brett Crawley
Brett Crawley
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Toc

Table of Contents (18) Chapters Close

Preface 1. Chapter 1: Game Play 2. Chapter 2: Spoofing FREE CHAPTER 3. Chapter 3: Tampering 4. Chapter 4: Repudiation 5. Chapter 5: Information Disclosure 6. Chapter 6: Denial of Service 7. Chapter 7: Elevation of Privilege 8. Chapter 8: Privacy 9. Chapter 9: Transfer 10. Chapter 10: Retention/Removal 11. Chapter 11: Inference 12. Chapter 12: Minimization 13. Glossary
14. Further Reading 15. Licenses for third party content 16. Index 17. Other Books You May Enjoy

9. of Inference

A neural network makes customer-related decisions, but nobody can really explain to the customers what the model is based on.

Threat

image

If you are using a neural network to make decisions based on the data of EU citizens, the GDPR requires that you are able to explain why that neural network made a certain decision about them from their data. If you are unable to explain the model itself, it is impossible to explain why the system may have made such a decision.

GDPR

Chapter 1, Art. 4 – 4.

Chapter 3, Art. 22 – 1.

Recital 71

CCPA & CPRA

CCPA 1798.185. Regulations (a)(16)

OECD

Part 2, 7. Collection Limitation Principle

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