Digital Forensics and Watermarking 21st International Workshop, IWDW 2022, Guilin, China, November 18-19, 2022, Revised Selected Papers / [electronic resource] :
edited by Xianfeng Zhao, Zhenjun Tang, Pedro Comesaña-Alfaro, Alessandro Piva.
- 1st ed. 2023.
- XII, 219 p. 94 illus., 76 illus. in color. online resource.
- Lecture Notes in Computer Science, 13825 1611-3349 ; .
- Lecture Notes in Computer Science, 13825 .
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. .
This book constitutes the refereed proceedings of the 21st International Workshop, IWDW 2022, held in Guilin, China, during November 18-19, 2022. 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.
9783031251153
10.1007/978-3-031-25115-3 doi
Cryptography.
Data encryption (Computer science).
Numerical analysis.
Computer vision.
Machine learning.
Computer networks .
Computer engineering.
Cryptology.
Numerical Analysis.
Computer Vision.
Machine Learning.
Computer Communication Networks.
Computer Engineering and Networks.
QA268
005.824
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. .
This book constitutes the refereed proceedings of the 21st International Workshop, IWDW 2022, held in Guilin, China, during November 18-19, 2022. 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.
9783031251153
10.1007/978-3-031-25115-3 doi
Cryptography.
Data encryption (Computer science).
Numerical analysis.
Computer vision.
Machine learning.
Computer networks .
Computer engineering.
Cryptology.
Numerical Analysis.
Computer Vision.
Machine Learning.
Computer Communication Networks.
Computer Engineering and Networks.
QA268
005.824