| 期刊全稱 | Adversarial Multimedia Forensics | | 影響因子2023 | Ehsan Nowroozi,Kassem Kallas,Alireza Jolfaei | | 視頻video | http://file.papertrans.cn/151/150411/150411.mp4 | | 發(fā)行地址 | Provides a reference of challenges and solutions in adversarial multimedia.Addressing the vulnerability and fragility of machine learning architectures that pose new serious security threats against e | | 學(xué)科分類 | Advances in Information Security | | 圖書封面 |  | | 影響因子 | .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..The second area of this book focuses on the broader landscape of security, including the detection of synthetic human voices, secure deep neural networks (DNNs) and federated learning in the context of machine learning security. It investigates novel methods for detecting synthetic human voices using neural vocoder artifacts, and it explores the vulnerabilities and security challenges | | Pindex | Book 2024 |
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