Adversarial Multimedia Forensics by Ehsan Nowroozi (.PDF)+

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File Size: 45.9 MB

Adversarial Multimedia Forensics by Ehsan Nowroozi, Kassem Kallas, Alireza Jolfaei
Requirements: .ePUB, .PDF reader, 45.9 MB
Overview: This book explores various aspects of digital forensics, security and Machine Learning, while offering valuable insights into the ever-evolving landscape of multimedia forensics and data security. This book’s content can be summarized in two main areas. The first area of this book primarily addresses techniques and methodologies related to digital image forensics. It discusses advanced techniques for image manipulation detection, including the use of Deep Learning architectures to generate and manipulate synthetic satellite images. This book also explores methods for face recognition under adverse conditions and the importance of forensics in criminal investigations. Additionally, the book highlights anti-forensic measures applied to photos and videos, focusing on their effectiveness and trade-offs. Intended for those in Computer Science, engineering, and other related fields, this book explores the challenges and opportunities of the adversarial side of multimedia forensics. Some Machine Learning and signal processing basics are helpful but are not required. The goal is to equip readers with the knowledge to navigate this complex space and drive innovation in this exciting, ever-changing field.
Genre: Non-Fiction > Tech & Devices

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