RD-IWAN: Residual Dense Based Imperceptible Watermark Attack Network

Author:

Wang Chunpeng1ORCID,Hao Qixian2ORCID,Xu Shujiang3ORCID,Ma Bin1ORCID,Xia Zhiqiu1ORCID,Li Qi1ORCID,Li Jian1,Shi Yun-Qing4

Affiliation:

1. School of Cyber Security, Qilu University of Technology, Jinan, China

2. School of Computer Science and Technology, Qilu University of Technology, Jinan, China

3. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

4. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Shandong Provincial Natural Science Foundation

Jinan City “20 universities” Funding Projects

Jinan City-School Integration Development Strategy Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

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1. Learning-based image steganography and watermarking: A survey;Expert Systems with Applications;2024-09

2. HIWANet: A high imperceptibility watermarking attack network;Engineering Applications of Artificial Intelligence;2024-07

3. Two-Stage Watermark Removal Framework for Spread Spectrum Watermarking;IEEE Transactions on Multimedia;2024

4. Novel Quaternion Orthogonal Fourier-Mellin Moments Using Optimized Factorial Calculation;Lecture Notes in Computer Science;2024

5. CAWNet: A Channel Attention Watermarking Attack Network Based on CWABlock;Pattern Recognition and Computer Vision;2023-12-26

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