Fixing the Double Agent Vulnerability of Deep Watermarking: A Patch-Level Solution against Artwork Plagiarism

Increasing artwork plagiarism incidents stresses the urgent need for proper Copyright protection on behalf of the creators. The latest development in this context focuses on embedding watermarks via deep encoder-decoder networks. However, we find that deep watermarking has a serious vulnerability on...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 34; H. 3; S. 1
Hauptverfasser:	Luo, Yuanjing, Zhou, Tongqing, Cui, Shenglan, Ye, Yunfan, Liu, Fang, Cai, Zhiping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Art works artwork copyright protection convolutional neural networks Copy protection Copyright protection Decoding Deep watermarking Distortion Embedding Encoders-Decoders Plagiarism plagiarism resistance Robustness Training Watermarking
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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