AI Security Essentials Audiobook By Ajit Singh cover art

AI Security Essentials

Protecting Intelligent Systems

 Virtual Voice Sample

Audible Standard 30-day free trial

Try Standard free
Select 1 audiobook a month from our entire collection of titles.
Yours as long as you’re a member.
Get unlimited access to bingeable podcasts.
Standard auto renews for $8.99 a month after 30 days. Cancel anytime.

AI Security Essentials

By: Ajit Singh
Narrated by: Virtual Voice
Try Standard free

$8.99 a month after 30 days. Cancel anytime.

Buy for $8.90

Buy for $8.90

Background images

This title uses virtual voice narration

Virtual voice is computer-generated narration for audiobooks.
"AI Security Essentials: Protecting Intelligent Systems" is a comprehensive and modern textbook meticulously crafted for undergraduate (B.Tech) and postgraduate (M.Tech) students of Computer Science, Information Technology, and Artificial Intelligence. In an era where AI is ubiquitous, understanding how to secure these intelligent systems is no longer a niche specialization but a fundamental engineering skill. This book serves as an essential guide, bridging the gap between theoretical AI concepts and the practical realities of cybersecurity in the AI domain.

The content is structured to be fully compliant with the multidisciplinary, skill-based, and holistic learning objectives of India's National Education Policy (NEP) 2020 and the AICTE's model curriculum. Simultaneously, its coverage of universal principles, global standards, and cutting-edge topics ensures its relevance and compatibility with the syllabi of leading international universities. The book follows a progressive 11-chapter structure that takes the reader on a logical journey from foundational concepts to advanced, forward-looking challenges.


Key Features of This Book:

1. NEP 2020 and AICTE Aligned: The book's structure and content are specifically designed to meet the outcome-based education (OBE) framework, promoting critical thinking, problem-solving, and practical skill development.

2. Global Curriculum Compatibility: By focusing on fundamental principles and globally recognized frameworks (like NIST AI RMF) and regulations (like GDPR), the book is a valuable resource for students worldwide.

3. Practical, Hands-On Approach: Every theoretical concept is reinforced with practical code examples in Python using popular libraries like TensorFlow, PyTorch, and Scikit-learn, enabling students to "learn by doing."

4. Comprehensive 10-Chapter Structure: The book is logically organized into ten chapters, covering everything from the basics of the AI threat landscape and adversarial attacks to advanced topics like data privacy, MLOps security, and the security of Generative AI.

5. Cutting-Edge and Updated Content: Includes the latest and most relevant topics, such as the security of Large Language Models (LLMs), prompt injection, federated learning, and AI red teaming, ensuring students are prepared for current and future challenges.

6. Focus on Ethics, Fairness, and Governance: A dedicated chapter on explainability (XAI), bias, and fairness, along with integrated discussions on governance, provides a holistic perspective, training students to be responsible technologists.

7. Lucid and Accessible Language: Complex topics are broken down into simple, digestible parts, making the book accessible to students at various levels of their academic journey.

8. Rich Learning Aids: Each chapter includes clear learning objectives, summaries of key takeaways, and a set of review questions and practical exercises to test understanding and encourage further exploration.


Disclaimer: Earnest request from the Author.

Kindly go through the table of contents and refer kindle edition for a glance on the related contents.

Thank you for your kind consideration!
No reviews yet