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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
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Author (1):
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John Sotiropoulos John Sotiropoulos
Author Profile Icon John Sotiropoulos
John Sotiropoulos
LinkedIn
John Sotiropoulos is a senior security architect at Kainos where he is responsible for AI security and works to secure national-scale systems in government, regulators, and healthcare. John has gained extensive experience in building and securing systems in roles such as developer, CTO, VP of engineering, and chief architect.nA co-lead of the OWASP Top 10 for Large Language Model (LLM) Applications and a core member of the AI Exchange, John leads standards alignment for both projects with other standards organizations and national cybersecurity agencies. He is the OWASP lead at the US AI Safety Institute Consortium.nAn avid geek and marathon runner, he is passionate about enabling builders and defenders to create a safer future.
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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

Technical requirements

To follow this chapter, you will need a computer running Windows 10 or 11, macOS, or Linux with at least 8 GB of RAM. For Windows users, I strongly recommend using the Windows Subsystem for Linux 2 (WSL2) and Ubuntu 20.04. For more information on WSL2, see https://learn.microsoft.com/en-us/windows/wsl/tutorials/linux. There are some excellent step-by-step guides on ubuntu.com on how to install and use Ubuntu on WSL2. For more information, see https://ubuntu.com/tutorials/install-ubuntu-on-wsl2-on-windows-11-with-gui-support#1-overview.

You will also need to install packages as we go along; we will explain this in the chapter.

To edit or run the examples, you must have a browser or an IDE that supports Jupyter notebooks, such as Visual Studio Code or IntelliJ PyCharm. Both are free and can be found at https://code.visualstudio.com and https://www.jetbrains.com/pycharm. A browser will be more than sufficient for the examples in this chapter.

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Authors (1)

Profile icon John Sotiropoulos
John Sotiropoulos
LinkedIn icon Github icon
John Sotiropoulos is a senior security architect at Kainos where he is responsible for AI security and works to secure national-scale systems in government, regulators, and healthcare. John has gained extensive experience in building and securing systems in roles such as developer, CTO, VP of engineering, and chief architect. A co-lead of the OWASP Top 10 for Large Language Model (LLM) Applications and a core member of the AI Exchange, John leads standards alignment for both projects with other standards organizations and national cybersecurity agencies. He is the OWASP lead at the US AI Safety Institute Consortium. An avid geek and marathon runner, he is passionate about enabling builders and defenders to create a safer future.
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See other products by John Sotiropoulos

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