
Quantum Shield for AI Security
Description
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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.
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Persons
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.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
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The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
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