AI Security: The Most Dangerous Cyber-Attacks on Artificial Intelligence

Author:   Petar Radanliev
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032281050


Pages:   214
Publication Date:   02 August 2026
Format:   Hardback
Availability:   In Print   Availability explained
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AI Security: The Most Dangerous Cyber-Attacks on Artificial Intelligence


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Author:   Petar Radanliev
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032281050


ISBN 10:   3032281059
Pages:   214
Publication Date:   02 August 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Dedication.- Preface.- Acknowledgments.- List of Abbreviations.- 1. Why AI Security Matters.- 2. The Anatomy of AI Cyber-Attacks.- 3. Adversarial Perturbations.- 4. Data Poisoning - Corrupting AI at the Source.- 5. Model Extraction - Stealing AI Intellectual Property.- 6. Large Language Model (LLM) Attacks.- 7. AI-Powered Social Engineering and Deepfake Exploits.- 8. Federated Learning and Reinforcement Learning Attacks.- 9. Attacks on AI-Powered Security Systems.- 10. AI Security Best Practices and Risk Mitigation.- References.- Glossary.- Index.

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Author Information

Dr. Petar Radanliev lectures and supervises postgraduate Master’s students’ research dissertations on AI and cybersecurity at the Department of Computer Science, University of Oxford. He is Lecturer/Instructor at Pearson's and O’Reilly (USA), while also conducting research on digital identity system security at the Alan Turing Institute, based at the British Library (London). After completing his PhD in 2013/14, Petar held postdoctoral research appointments at Imperial College London, the University of Cambridge, the Massachusetts Institute of Technology, and the Department of Engineering Science at the University of Oxford. His work spans artificial intelligence, cybersecurity, post-quantum security, and blockchain security. This research has led to over 4,700 citations, more than 100 peer-reviewed publications, and four authored books. In recognition of his contributions, Petar has received major funding awards, including a Fulbright Fellowship, and the Prince of Wales Innovation Award. Before joining academia, Dr. Petar Radanliev worked as a Cybersecurity manager for the Royal Bank of Scotland and, prior to that, as a Lead Penetration tester for the Macedonian Department for Defence (Army).

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