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portada Data Security in AI Systems
Type
Physical Book
Publisher
Author
Language
English
Pages
92
Format
Paperback
Dimensions
22.9 x 15.2 x 0.6 cm
ISBN13
9783330024618

Data Security in AI Systems

Vijaya Kumar, Thokala (Author) · LAP Lambert Academic Publishing · Paperback

Data Security in AI Systems - Vijaya Kumar, Thokala

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Synopsis "Data Security in AI Systems"

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.

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