Adversarial Multimedia Forensics (Record no. 87606)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 05396nam a22006255i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-49803-9 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730171451.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240304s2024 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031498039 |
| -- | 978-3-031-49803-9 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.31 |
| 245 10 - TITLE STATEMENT | |
| Title | Adversarial Multimedia Forensics |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVIII, 284 p. 92 illus., 83 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in Information Security, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Chapter. 1. Model Poisoning Attack against Federated Learning with Adaptive Aggregation -- Chapter. 2. Image Forgery Detection using Comprint: A Comprehensive Study -- Chapter. 3. Good or evil: Generative adversarial networks in digital forensics -- Chapter. 4. Refined GAN-Based Attack Against Image Splicing Detection and Localization Algorithms -- Chapter. 5. Generative Adversarial networks for Artificial Satellite Image Creation and Manipulation -- Chapter. 6. Domain Specific Information based learning for Facial Image Forensics -- Chapter. 7. Linguistic Steganography and Linguistic Steganalysis -- Chapter. 8. Random Deep Feature Selection's Efficiency in Securing Image Manipulation Detectors Opposed by Adversarial Attacks -- Chapter. 9. Optimized Distribution for Robust Watermarking of Deep neural Networks through Fixed Embedding Weights -- Chapter. 10. Anti Forensic Measures and Their Impact on Forensic Investigations -- Chapter. 11. Using Vocoder Artifacts for Audio Deepfakes Detection. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 of federated learning in the face of adversarial attacks. Furthermore, this book delves into the realms of linguistic steganography and steganalysis, discussing the evolving techniques that utilize deep learning and natural language processing to enhance payload and detection accuracy. Overall, this book provides a comprehensive overview of the ever-evolving field of digital forensics and security, making it an invaluable resource for researchers and students interested in image forensics, machine learning security and information protection. It equips readers with the latest knowledge and tools to address the complex challenges posed by the digital landscape. Professionals working in this related field will also find this book to be a valuable resource. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Digital techniques. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Nowroozi, Ehsan. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kallas, Kassem. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Jolfaei, Alireza. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-49803-9 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| -- | 2024. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image processing |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer crimes. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine Learning. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Crime. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal, Speech and Image Processing. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2512-2193 ; |
| 912 ## - | |
| -- | ZDB-2-SCS |
| 912 ## - | |
| -- | ZDB-2-SXCS |
No items available.