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Titlebook: Adversarial Multimedia Forensics; Ehsan Nowroozi,Kassem Kallas,Alireza Jolfaei Book 2024 The Editor(s) (if applicable) and The Author(s),

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发表于 2025-3-21 18:34:34 | 显示全部楼层 |阅读模式
期刊全称Adversarial Multimedia Forensics
影响因子2023Ehsan Nowroozi,Kassem Kallas,Alireza Jolfaei
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发行地址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
学科分类Advances in Information Security
图书封面Titlebook: Adversarial Multimedia Forensics;  Ehsan Nowroozi,Kassem Kallas,Alireza Jolfaei Book 2024 The Editor(s) (if applicable) and The Author(s),
影响因子.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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Good or Evil: Generative Adversarial Networks in Digital Forensics,forensic tools to fool classifiers. The adversary may either remove or modify crucial evidence present in data or create completely new data which closely reflects the original. In this work, we present a literature overview on the application of GANs in the digital forensics domain to demonstrate t
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Generative Adversarial Networks for Artificial Satellite Image Creation and Manipulation,ing..With an appropriately trained version of cycle GAN architecture, the objective of the land cover transfer is to effectuate a change in the land cover from modified images of vegetation to barren land and vice versa. By employing the pix2pix GAN architecture, the seasonal transfer technique achi
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Domain Specific Information Based Learning for Facial Image Forensics,entify the suspects involved in crime, forensic experts follow manual comparison which is a time-consuming task. The main objective of this chapter is to discuss the importance of forensics and the various universities, laboratories, and applications established in this discipline. Domain specific m
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Using Vocoder Artifacts For Audio Deepfakes Detection,with the vocoder identification system. We employ a self-supervised representation learning (SSRL) approach, treating vocoder identification as a pretext task. Doing so ensures that the front-end feature extraction module is constrained and optimized to build the final binary classifier for syntheti
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