Adversarial Multimedia Forensics
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 addresse...
محفوظ في:
| مؤلف مشترك: | |
|---|---|
| مؤلفون آخرون: | , , |
| التنسيق: | الكتروني كتاب الكتروني |
| اللغة: | الإنجليزية |
| منشور في: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| الطبعة: | 1st ed. 2024. |
| سلاسل: | Advances in Information Security,
104 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/978-3-031-49803-9 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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جدول المحتويات:
- 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.