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Adversarial AI Attacks, Mitigations, and Defense Strategies

You're reading from   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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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835087985
Length 586 pages
Edition 1st Edition
Languages
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Author (1):
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John Sotiropoulos John Sotiropoulos
Author Profile Icon John Sotiropoulos
John Sotiropoulos
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Toc

Table of Contents (27) Chapters Close

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

Part 4: Generative AI and Adversarial Attacks

In this part, you will learn the fundamentals of generative AI and how it differs from classic predictive AI. You will learn how to develop Generative Adversarial Networks (GANs) and how you can use them or pre-trained GANs to stage adversarial attacks or create deepfakes. You will learn how to develop chatbot applications with ChatGPT and LangChain and how to stage prompt injection attacks, poison RAG, embeddings used in RAG, and fine-tuning. You will also learn how to stage poisoning attacks on open source models on Hugging Face, model lobotomization, and how privacy attacks apply to LLMs.

This part has the following chapters:

  • Chapter 11, Generative AI – New Frontier
  • Chapter 12, Weaponizing GANs for Deepfakes and Adversarial Attacks
  • Chapter 13, LLM Foundations for Adversarial AI
  • Chapter 14, Adversarial Attacks with Prompts
  • Chapter 15, Poisoning Attacks and LLMs
  • Chapter 16, Advanced Generative...
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