Data Security in AI Systems (Paperback) (ISBN-13: 9783330024618)

This book explores the vital intersection of AI and data security, stressing the need to safeguard sensitive information in intelligent systems. Part 1 introduces AI fundamentals and highlights why data security is critical as AI increasingly relies on large-scale data processing, making it vulnerable to threats. Part 2 outlines major risks like data poisoning, adversarial attacks, and model theft, along with protection methods such as encryption and differential privacy. Part 3 presents a case study on Google, examining how it manages data security and addresses real incidents. Part 4 explores future challenges, including quantum computing, evolving regulations, and the push for explainable AI. Part 5 concludes with practical recommendations to enhance AI security. Bridging technical detail and real-world examples, the book is a valuable resource for researchers, developers, and policymakers seeking to strengthen AI systems in a data-driven world.

Author: Thokala Vijaya Kumar
ISBN-10: 3330024615
ISBN-13: 9783330024618
Publisher: LAP Lambert Academic Publishing
Language: English
Published: 06/27/2025
Pages: 92
Format: Paperback
Weight: 0.30lbs
Size: 9.00h x 6.00w x 0.22d