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Titlebook: Digital Forensics and Watermarking; 19th International W Xianfeng Zhao,Yun-Qing Shi,Hyoung Joong Kim Conference proceedings 2021 Springer N

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Variable Rate Syndrome-Trellis Codes for Steganography on Bursty Channels of the cover vector. It can further improve the undetectability of the VR-STC. Experimental results on artificial signals and binary images suggest that the proposed VR-STC can provide high success rate of embedding and reduce the embedding cost on bursty channels.
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Improving Text-Image Matching with Adversarial Learning and Circle Loss for Multi-modal Steganograph matching algorithm with adversarial learning and circle loss. By selecting and transmitting the original multi-modal carriers with high relevancy, the proposed method can escape from the detection of current steganalysis methods. It is also illustrated by the theoretical analysis and experimental r
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