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Adversarial AI Attacks, Mitigations, and Defense Strategies
Adversarial AI Attacks, Mitigations, and Defense Strategies

Adversarial AI Attacks, Mitigations, and Defense Strategies: A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps

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Profile Icon John Sotiropoulos
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€14.99 €29.99
Book Jul 2024 586 pages 1st Edition
eBook
€14.99 €29.99
Print
€25.99 €37.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon John Sotiropoulos
Arrow right icon
€14.99 €29.99
Book Jul 2024 586 pages 1st Edition
eBook
€14.99 €29.99
Print
€25.99 €37.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€14.99 €29.99
Print
€25.99 €37.99
Subscription
Free Trial
Renews at €18.99p/m

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Adversarial AI Attacks, Mitigations, and Defense Strategies

Part 1: Introduction to Adversarial AI

In this part, you will get an overview of AI, cybersecurity, and adversarial AI. You will learn the fundamental concepts and terms you need to know to embark on your journey of mastering adversarial AI and AI security. This will cover algorithms, models, model development and deployment, and inference APIs. We will set up our environment and create our first sample AI solution, which we will use later in the book. We will also cover cybersecurity fundaments and how to apply them to our sample solution, including vulnerability and code scanning, while demonstrating our first adversarial attack on our sample AI service.

This part has the following chapters:

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Key benefits

  • Understand the connection between AI and security by learning about adversarial AI attacks
  • Discover the latest security challenges in adversarial AI by examining GenAI, deepfakes, and LLMs
  • Implement secure-by-design methods and threat modeling, using standards and MLSecOps to safeguard AI systems
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Adversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips cybersecurity professionals with the skills to secure AI technologies, moving beyond research hype or business-as-usual strategies. The strategy-based book is a comprehensive guide to AI security, presenting a structured approach with practical examples to identify and counter adversarial attacks. This book goes beyond a random selection of threats and consolidates recent research and industry standards, incorporating taxonomies from MITRE, NIST, and OWASP. Next, a dedicated section introduces a secure-by-design AI strategy with threat modeling to demonstrate risk-based defenses and strategies, focusing on integrating MLSecOps and LLMOps into security systems. To gain deeper insights, you’ll cover examples of incorporating CI, MLOps, and security controls, including open-access LLMs and ML SBOMs. Based on the classic NIST pillars, the book provides a blueprint for maturing enterprise AI security, discussing the role of AI security in safety and ethics as part of Trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI systems effectively.

What you will learn

  • Understand poisoning, evasion, and privacy attacks and how to mitigate them
  • Discover how GANs can be used for attacks and deepfakes
  • Explore how LLMs change security, prompt injections, and data exposure
  • Master techniques to poison LLMs with RAG, embeddings, and fine-tuning
  • Explore supply-chain threats and the challenges of open-access LLMs
  • Implement MLSecOps with CIs, MLOps, and SBOMs

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 26, 2024
Length 586 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781835087985
Category :
Concepts :

What do you get with eBook?

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Product Details

Publication date : Jul 26, 2024
Length 586 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781835087985
Category :
Concepts :

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Table of Contents

27 Chapters
Preface Chevron down icon Chevron up icon
1. Part 1: Introduction to Adversarial AI Chevron down icon Chevron up icon
2. Chapter 1: Getting Started with AI Chevron down icon Chevron up icon
3. Chapter 2: Building Our Adversarial Playground Chevron down icon Chevron up icon
4. Chapter 3: Security and Adversarial AI Chevron down icon Chevron up icon
5. Part 2: Model Development Attacks Chevron down icon Chevron up icon
6. Chapter 4: Poisoning Attacks Chevron down icon Chevron up icon
7. Chapter 5: Model Tampering with Trojan Horses and Model Reprogramming Chevron down icon Chevron up icon
8. Chapter 6: Supply Chain Attacks and Adversarial AI Chevron down icon Chevron up icon
9. Part 3: Attacks on Deployed AI Chevron down icon Chevron up icon
10. Chapter 7: Evasion Attacks against Deployed AI Chevron down icon Chevron up icon
11. Chapter 8: Privacy Attacks – Stealing Models Chevron down icon Chevron up icon
12. Chapter 9: Privacy Attacks – Stealing Data Chevron down icon Chevron up icon
13. Chapter 10: Privacy-Preserving AI Chevron down icon Chevron up icon
14. Part 4: Generative AI and Adversarial Attacks Chevron down icon Chevron up icon
15. Chapter 11: Generative AI – A New Frontier Chevron down icon Chevron up icon
16. Chapter 12: Weaponizing GANs for Deepfakes and Adversarial Attacks Chevron down icon Chevron up icon
17. Chapter 13: LLM Foundations for Adversarial AI Chevron down icon Chevron up icon
18. Chapter 14: Adversarial Attacks with Prompts Chevron down icon Chevron up icon
19. Chapter 15: Poisoning Attacks and LLMs Chevron down icon Chevron up icon
20. Chapter 16: Advanced Generative AI Scenarios Chevron down icon Chevron up icon
21. Part 5: Secure-by-Design AI and MLSecOps Chevron down icon Chevron up icon
22. Chapter 17: Secure by Design and Trustworthy AI Chevron down icon Chevron up icon
23. Chapter 18: AI Security with MLSecOps Chevron down icon Chevron up icon
24. Chapter 19: Maturing AI Security Chevron down icon Chevron up icon
25. Index Chevron down icon Chevron up icon
26. Other Books You May Enjoy Chevron down icon Chevron up icon
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