Fr. 90.00

Digital Forensics and Watermarking - 21st International Workshop, IWDW 2022, Guilin, China, November 18-19, 2022, Revised Selected Papers

English · Paperback / Softback

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Description

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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.

List of contents

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. 

Product details

Assisted by Pedro Comesaña-Alfaro (Editor), Pedro Comesaña-Alfaro et al (Editor), Alessandro Piva (Editor), Zhenjun Tang (Editor), Xianfeng Zhao (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 29.01.2023
 
EAN 9783031251146
ISBN 978-3-0-3125114-6
No. of pages 219
Dimensions 155 mm x 12 mm x 235 mm
Illustrations XII, 219 p. 94 illus., 76 illus. in color.
Series Lecture Notes in Computer Science
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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