Mehr lesen
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.
Über den Autor / die Autorin
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 aPostdoctoral 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.
Zusammenfassung
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.
