Quantum Shield for AI Security

Puneet Kumar

ISBN 10: 3119145599 / ISBN 13: 9783119145596

Published by Walter De Gruyter Feb 2026, 2026

About this Item

Neuware -The book explores how quantum computing can protect AI systems from sophisticated adversarial threats. As AI applications grow in sectors like finance, healthcare, and critical infrastructure, vulnerabilities such as data poisoning and model inversion pose significant security risks. This book investigates how quantum methods can effectively counter these challenges. Distinct from existing literature, it combines theoretical insights with practical applications, covering quantum-enhanced cryptography, quantum machine learning for threat detection, and advanced algorithms tailored for AI. It provides actionable solutions for AI practitioners while also meeting the academic needs of researchers with rigorous mathematical treatments. The book is targeted at academic researchers, professionals, and graduate students in computer science interested in AI and quantum computing. It goes beyond mathematical concepts to bridge quantum theory and its practical applications across sciences and industries. By offering both foundational principles and advanced quantum defense applications, this book serves as a vital resource for those developing AI systems with robust, quantum-enhanced security. 310 pp. Englisch.

Seller Inventory # 9783119145596

Bibliographic Details

• Title: Quantum Shield for AI Security
• Publisher: Walter De Gruyter Feb 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 3119145599
• ISBN 13: 9783119145596
• Binding: Buch
• Condition: Neu
• Dimensions: 242W x 176H x 23D millimeters 242 millimeters width by 176 millimeters height by 23 millimeters depth
• Weight: 640 grams

About this title

Synopsis

The book explores how quantum computing can protect AI systems from sophisticated adversarial threats. As AI applications grow in sectors like finance, healthcare, and critical infrastructure, vulnerabilities such as data poisoning and model inversion pose significant security risks. This book investigates how quantum methods can effectively counter these challenges.
Distinct from existing literature, it combines theoretical insights with practical applications, covering quantum-enhanced cryptography, quantum machine learning for threat detection, and advanced algorithms tailored for AI. It provides actionable solutions for AI practitioners while also meeting the academic needs of researchers with rigorous mathematical treatments.
The book is targeted at academic researchers, professionals, and graduate students in computer science interested in AI and quantum computing. It goes beyond mathematical concepts to bridge quantum theory and its practical applications across sciences and industries. By offering both foundational principles and advanced quantum defense applications, this book serves as a vital resource for those developing AI systems with robust, quantum-enhanced security.

About the Author

Dr. Aleem Ali is a Professor at Chandigarh University with a focus on Quantum Computing, Machine Learning, and AI security. He has published extensively in top-tier journals and conferences, contributing significantly to the advancement of secure AI systems.

Dr. Puneet Kumar is a seasoned researcher with expertise in Quantum Computing and its applications in AI security. He has over 20 years of academic experience and has authored multiple patents and research papers.

Dr. Shaweta Sachdeva specializes in AI, Machine Learning, and Quantum Computing with over 19 years of academic experience. She has filed two patents and published 17 research papers, including contributions to the security aspects of AI.

Dr. Rajkumar Sarma is a Postdoctoral Researcher in University of Limerick (Public University). His research interests are in Quantum Technology, Network security, and AI.

Dr. Nawaf R. Alharbe is a Professor at Taibah University, with research interests in Quantum Computing, cybersecurity, and AI. He has been a key contributor to several high-impact research projects and publications in the field.