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Large Language Models for Developers

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

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Financial Data Analysis Using Python

Beginning Python 3 with Grok 2

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Theory, Applications and Ethics

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Assessing Threats, Risks, and Vulnerabilities

Combating Cyberattacks Targeting the AI Ecosystem

Chapter 4: Threats and Attacks Targeting the AI Ecosystem: Real-world Case Studies

Frontmatter

Contents

Preface

Acknowledgments

About the Author

Chapter 1: Introduction to AI: LLMs, GenAI Applications, and the AI Infrastructure

Chapter 2: AI Trust, Compliance, and Security

Chapter 3: The AI Threat Landscape: Dissecting the Risks and Attack Vectors

Chapter 5: Security Assessment of LLMs, GenAI Applications, and the AI Infrastructure

Chapter 6: Defending LLMs, GenAI Applications, and the AI Infrastructure Against Cyberattacks

Appendix: Machine Learning /AI Terms

Index

Sood, Aditya

This book explores in detail the AI-driven cyber threat landscape, including inherent AI threats and risks that exist in Large Language Models (LLMs), Generative AI applications, and the AI infrastructure. The book highlights hands-on technical approaches to detect security flaws in AI systems and applications utilizing the intelligence gathered from real-world case studies. Lastly, the book presents a very detailed discussion of the defense mechanisms and practical solutions to secure LLMs, GenAI applications, and the AI infrastructure.

This book explores in detail the AI-driven cyber threat landscape, including inherent AI threats and risks that exist in Large Language Models (LLMs),...

Chapter 4: Threats and Attacks Targeting the AI Ecosystem:...

Chapter 4: Threats and Attacks Targeting the AI Ecosystem: Real-world Case Studies

Format

Chapter 4: Threats and Attacks Targeting the AI Ecosystem: Real-world Case Studies

Aditya Sood

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