Generative AI for Multimedia Content Processing, Security and Privacy (Hardcover)

Exploring the field of generative artificial intelligence (GenAI) and its use in the processing and security of multimedia content, this co-authored book addresses the critical needs and emerging challenges in the rapidly evolving intersection of artificial intelligence, multimedia content, and cybersecurity. The capabilities of sophisticated GenAI models in generating, improving, and manipulating multimedia information, including images, videos, and audio are thoroughly explored. Coverage also extends to technical innovations including advanced neural network topologies, novel training methods, and methods for boosting GenAI-generated content quality and authenticity.

The book's focus on security and privacy concerns and the weaknesses brought on by GenAI includes data privacy challenges, the development of unlicensed material, and the exploitation of AI for nefarious intentions. Furthermore, the ethical implications and legal obstacles involved in guaranteeing the secure and accountable implementation of generative AI in multimedia applications are examined and potential future directions identified.

Generative AI for Multimedia Content Processing, Security and Privacy: Fundamentals, advances and applications will be a useful reference for multimedia researchers and engineers working with GenAI, particularly those interested in security and privacy challenges. Cybersecurity researchers and engineers working on digital content security and synthetic media prevention, AI researchers and engineering and technology practitioners developing generative AI technologies, will all find relevant information in this volume. The book will also be of interest to regulatory and compliance experts and policy makers working in the field.

Surjeet Dalal is a researcher and professor in the Computer Science and Engineering Department (CSE) at Amity University Haryana, India. He has published over 100 articles in SCI and Scopus-indexed journals in the fields of artificial intelligence, computer security and Cloud computing. He has written two books and filed 14 patents. He is a member of the International Association of Engineers (IAENG). He received his PhD in artificial intelligence from Suresh Gyan Vihar University, Jaipur and his master's degree in CSE from PDM College of Engineering, India.

Umesh Kumar Lilhore is a researcher in the Department of Computer Science and Engineering, as well as a leading member of the Research Center at Galgotias University, India. He holds a PhD and postdoctoral degree in Computer Science and Engineering, along with an MTech in CSE, showcasing his comprehensive expertise in the field. With over 100 publications in top-tier SCI and Scopus-indexed journals, his research has made pioneering contributions to artificial intelligence, machine learning, deep learning, and computer security. In addition to his research accomplishments, Professor Lilhore has authored five influential books and holds 20 patents, underscoring his innovative approach to solving complex problems. As a Senior Member of IEEE, Professor Lilhore actively engages with the global academic and professional communities. He serves as an esteemed editor for Springer BMC Medical Informatics and Decision Making, influencing research discussions at the intersection of technology and healthcare. His involvement in organisations such as the Computer Society of India (CSI) and ACM further demonstrates his commitment to advancing knowledge and collaboration in the field of computer science. Throughout his illustrious career, Professor Lilhore has mentored numerous students and researchers, guiding the next generation of leaders in CSE. His interdisciplinary work bridges cutting-edge technology with real-world applications across academia and industry practices.

Shalini Bhaskar Bajaj is a researcher, professor and head of the Department of Computer Science and Engineering at Amity University, Haryana, India. Her research focuses on artificial intelligence, machine learning and data analytics. She has published over 100 research papers in SCI and Scopus peer-reviewed journals. She is editor-in-chief of the Journal of Data Science and Cybersecurity (JDSCS). She is a fellow of the Institution of Engineers (India) (FIE) and a member of the International Association of Engineers (IAENG). She completed her PhD in Information Technology from IIT Delhi and her ME degree in Computer Technology and Applications from Delhi University, India.

Momina Shaheen is a senior lecturer in computing at the University of Roehampton, London, UK. She has led several projects in the areas of artificial intelligence, machine learning, data science, agent-based modelling, cognitive sciences and distributed systems. She has published 35+ research papers in computing and cutting-edge technologies and has authored two books. She earned her PhD degree in artificial intelligence at the University of Management and Technology, and her master's degree in software engineering from Bahria University, Islamabad, Pakistan.