Digital Forensics and Watermarking
Springer International Publishing (Verlag)
978-3-031-25114-6 (ISBN)
The 14 full papers included in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: Steganology, Forensics and Security Analysis, Watermarking.
Steganology.- High-Performance Steganographic Coding Based on Sub-Polarized Channel.- High-Capacity Adaptive Steganography Based on Transform Coefficient for HEVC.- Forensics and Security Analysis.- SE-ResNet56: Robust Network Model for Deepfake Detection.- Voice Conversion Using Learnable Similarity-Guided Masked Autoencoder.- Visual Explanations for Exposing Potential Inconsistency of Deepfakes.- Improving the Transferability of Adversarial Attacks through Both Front and Rear Vector Method.- Manipulated Face Detection and Localization Based on Semantic Segmentation.- Deep Learning Image Age Approximation - What is more Relevant: Image Content or Age Information?.- Watermarking.- Physical Anti-Copying Semi-Robust Random Watermarking for QR Code.- Robust and Imperceptible Watermarking Scheme for GWAS Data Traceability.- Adaptive Robust Watermarking Method Based on Deep Neural Networks.- Adaptive Despread Spectrum-Based Image Watermarking for Fast Product Tracking.- Reversible Data Hiding via Arranging Blocks of Bit-Planes in Encrypted Images.- High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology.
| Erscheinungsdatum | 31.01.2023 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XII, 219 p. 94 illus., 76 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 361 g |
| Themenwelt | Informatik ► Theorie / Studium ► Kryptologie |
| Schlagworte | Artificial Intelligence • computer crime • Computer Networks • Computer Science • Computer Security • Computer systems • computer vision • cryptography • Data Security • digital watermarking • Engineering • Image Analysis • image coding • Image Compression • Image Processing • Image Quality • image reconstruction • Image Segmentation • machine learning • Mathematics • Signal Processing |
| ISBN-10 | 3-031-25114-8 / 3031251148 |
| ISBN-13 | 978-3-031-25114-6 / 9783031251146 |
| Zustand | Neuware |
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