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Full Description
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, policy makers and regulators working on AI deployment and data protection; and digital rights and intellectual property specialists.
Contents
Chapter 1: Introduction to Generative AI for Multimedia Content Processing
Chapter 2: Technical Foundations of Generative AI
Chapter 3: Generative AI for Image and Video Processing
Chapter 4: Generative AI for Audio and Speech Processing
Chapter 5: Ethical and Regulatory Perspectives of Generative AI
Chapter 6: Risk Assessment and Management of Generative AI Systems
Chapter 7: Security Challenges and Innovative Solutions for Generative AI
Chapter 8: Privacy-Preserving Techniques and Mitigation Strategies for Generative AI
Chapter 9: Case Studies and Real-World Applications in Generative AI
Chapter 10: Generative AI Collaborative Approaches and Open-Source Initiatives
Chapter 11: Future Trends in Generative AI
