Mitigating the Risks of AI Deepfakes
1st Edition
Published on 2. April 2026
288 pages
978-1-040-51849-6 (ISBN)
Description
Artificial intelligence (AI) has become deeply embedded in modern life, with autonomous systems now controlling many crucial functions in healthcare, transportation, and industry. However, the incredible power of AI also enables new forms of manipulation, deception, and harm. In our proposed book "Safeguarding Our Digital Future: Mitigating the Risks of AI Deepfakes," the chapters explore the dark side of AI and its dangerous implications for human wellbeing.
Spanning over 250 pages, the book examines how attackers can exploit AI systems to spread misinformation, steal identities, endanger lives through faulty diagnostics, and jeopardize public safety through products like self-driving cars. The chapters also dive into the national security risks posed by deepfakes and the use of AI to create compelling fake audio/video content used for political sabotage and blackmail. They explain how deepfakes could be uniquely disruptive in conservative societies that depend on reputation and visual evidence.
While increased reliance on AI delivers efficiency and insight, unchecked development poses catastrophic risks that outweigh the benefits. By assembling a comprehensive overview of the threats we face alongside potential solutions, this book sounds an alarm regarding the dark side of progress while laying out a blueprint for mitigating dangers. The chapters synthesize cutting-edge research on fighting back against AI manipulation through innovations in machine learning, deep learning, reinforcement learning, and federated learning.
Ultimately, "Mitigating the Risks of AI Deepfakes" serves as an essential call to action for consumers, companies, and governments to confront the hazards of AI proliferation head-on. If left unaddressed, the sinister potential of systems we depend on could endanger civil liberties and human life. We must work proactively to guard the public interest as intelligent algorithms grow more advanced. This book equips readers with the knowledge to meet that challenge.
Spanning over 250 pages, the book examines how attackers can exploit AI systems to spread misinformation, steal identities, endanger lives through faulty diagnostics, and jeopardize public safety through products like self-driving cars. The chapters also dive into the national security risks posed by deepfakes and the use of AI to create compelling fake audio/video content used for political sabotage and blackmail. They explain how deepfakes could be uniquely disruptive in conservative societies that depend on reputation and visual evidence.
While increased reliance on AI delivers efficiency and insight, unchecked development poses catastrophic risks that outweigh the benefits. By assembling a comprehensive overview of the threats we face alongside potential solutions, this book sounds an alarm regarding the dark side of progress while laying out a blueprint for mitigating dangers. The chapters synthesize cutting-edge research on fighting back against AI manipulation through innovations in machine learning, deep learning, reinforcement learning, and federated learning.
Ultimately, "Mitigating the Risks of AI Deepfakes" serves as an essential call to action for consumers, companies, and governments to confront the hazards of AI proliferation head-on. If left unaddressed, the sinister potential of systems we depend on could endanger civil liberties and human life. We must work proactively to guard the public interest as intelligent algorithms grow more advanced. This book equips readers with the knowledge to meet that challenge.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
44 Tables, black and white; 52 Line drawings, black and white; 29 Halftones, black and white; 81 Illustrations, black and white
File size
7,22 MB
ISBN-13
978-1-040-51849-6 (9781040518496)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Tarek Moulahi | Malka N. Halgamuge | Pascal Lorenz
Mitigating the Risks of AI Deepfakes
Book
04/2026
1st Edition
CRC Press
€178.27
Shipment within 10-20 days
Persons
Tarek Moulahi
Received his Ph.D. in Computer Science through a joint doctoral program between the University of Franche-Comte (Besancon, France) and the National School of Engineering of Sfax (Tunisia), which he completed on March 6, 2015. He is currently an Associate Professor in the Department of Mathematics and Computer Science at the Faculty of Science and Technology of Sidi Bouzid, University of Kairouan (Tunisia), and in the Department of Information Technology at the College of Computer, Qassim University (Saudi Arabia).
His research interests initially focused on Wireless Sensor Networks, the subject of both his Master's and Ph.D. theses. After his doctorate, his work expanded to include Vehicular Ad Hoc Networks (VANETs), Artificial Intelligence applications, and lightweight blockchain techniques for IoT systems. He currently supervises several Master's and Ph.D. students and has published numerous papers in high-impact international journals and conferences.
Malka N. Halgamuge
Is a Senior Lecturer in cybersecurity at RMIT University, Melbourne, Australia, and the Chair of the IEEE Computational Intelligence Society, Victorian Section, Australia. From 2007-2021, Malka worked as a Researcher at the Department of Electrical and Electronic Engineering at the University of Melbourne. She obtained her PhD in the same department. She was awarded prestigious fellowships to work at the University of California, Los Angeles, Lund University, Sweden, and the Chinese Academy of Sciences (CAS), Beijing, among others. Malka was the Keynote Speaker, Plenary Speaker, Associate Editor, Editorial Board Member, and IEEE Senior Member. She was the Program Co-Chair, Track Chair, Publication Chair, Advisory Chair, Publicity Co-Chair, Session Chair, Guest Editor, and a Member of the TPC for 300 international conferences. Malka has been a chief investigator for multiple grants totaling over \$1 million and has over 100 peer-reviewed publications in scientific journals and conference proceedings. She is passionate about research in IoTs, Data Communications, Cyber Security, Blockchain, Machine and Deep Learning.
Pascal Lorenz
(lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017), Chair of IEEE/ComSoc Satellite and Space Communications Technical (2022-2023), IEEE R8 Finance Committee (2022-2023), IEEE R8 Conference Coordination Committee (2023). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.
Received his Ph.D. in Computer Science through a joint doctoral program between the University of Franche-Comte (Besancon, France) and the National School of Engineering of Sfax (Tunisia), which he completed on March 6, 2015. He is currently an Associate Professor in the Department of Mathematics and Computer Science at the Faculty of Science and Technology of Sidi Bouzid, University of Kairouan (Tunisia), and in the Department of Information Technology at the College of Computer, Qassim University (Saudi Arabia).
His research interests initially focused on Wireless Sensor Networks, the subject of both his Master's and Ph.D. theses. After his doctorate, his work expanded to include Vehicular Ad Hoc Networks (VANETs), Artificial Intelligence applications, and lightweight blockchain techniques for IoT systems. He currently supervises several Master's and Ph.D. students and has published numerous papers in high-impact international journals and conferences.
Malka N. Halgamuge
Is a Senior Lecturer in cybersecurity at RMIT University, Melbourne, Australia, and the Chair of the IEEE Computational Intelligence Society, Victorian Section, Australia. From 2007-2021, Malka worked as a Researcher at the Department of Electrical and Electronic Engineering at the University of Melbourne. She obtained her PhD in the same department. She was awarded prestigious fellowships to work at the University of California, Los Angeles, Lund University, Sweden, and the Chinese Academy of Sciences (CAS), Beijing, among others. Malka was the Keynote Speaker, Plenary Speaker, Associate Editor, Editorial Board Member, and IEEE Senior Member. She was the Program Co-Chair, Track Chair, Publication Chair, Advisory Chair, Publicity Co-Chair, Session Chair, Guest Editor, and a Member of the TPC for 300 international conferences. Malka has been a chief investigator for multiple grants totaling over \$1 million and has over 100 peer-reviewed publications in scientific journals and conference proceedings. She is passionate about research in IoTs, Data Communications, Cyber Security, Blockchain, Machine and Deep Learning.
Pascal Lorenz
(lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017), Chair of IEEE/ComSoc Satellite and Space Communications Technical (2022-2023), IEEE R8 Finance Committee (2022-2023), IEEE R8 Conference Coordination Committee (2023). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.
Content
Chapter 1: Promises and Perils of AI - Understanding its dual capabilities. Chapter 2: Overview of Deepfakes, Threats and Innovative Defense Approaches. Chapter 3: From Deepfakes to Trust: The Role of Normative Goals in Brand Authenticity and Consumer Purchase Intentions. Chapter 4: Digital Forensics - Detecting and Authenticating Al Content. Chapter 5: Legal Remedies Regulations and Framework to Combat. Chapter 6: Technical Solutions - Algorithms and Systems to Identify Deepfakes. Chapter 7: Societal Resilience: Inoculating People Against Deepfake Manipulation. Chapter 8: Combatting Deepfake Videos: A Comprehensive Detection and Analysis System Using Advanced Machine Learning Techniques. Chapter 9: Cloud AI: Data Breach Detection. Chapter 10: Developing SHDO: A Case Study On Vehicle Insurance Fraud Detection. Chapter 11: Securing Our Shared Future - Recommendations for Healthy Technology Progress. Index.
