Attack-defending contrastive learning for volumetric medical image zero-watermarking

Zero-watermarking is an emerging distortion-free copyright protection method for volumetric medical images. However, achieving both robustness against various malicious attacks and distinguishability between individual images remains challenging. In this article, we propose a novel attack-defending...

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Bibliographic Details

Main Authors:	Xiyao Liu, Cundian Yang, Jianbiao He, Hui Fang, Gerald Schaefer, Jian Zhang, Yuesheng Zhu, Shichao Zhang
Format:	Default Article
Published:	2024
Subjects:	Information and computing sciences Computer vision and multimedia computation Distributed computing and systems software Graphics, augmented reality and games Information systems Artificial Intelligence & Image Processing Contrastive learning Zero-watermarking Copyright protection Volumetric Medical Image
Online Access:	https://hdl.handle.net/2134/28280216.v1
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