A robust zero-watermark method based on deep learning and chaotic permutation
Crossref DOI link: https://doi.org/10.1007/s00371-025-04028-y
Published Online: 2025-06-08
Published Print: 2025-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Peng, Yiran
Hu, Qingqing
Xu, Jing
Lin, Cuiyun
Deng, Chenheng
Huang, Yiyao
Wang, Wenxiao
U, Kintak
Text and Data Mining valid from 2025-06-08
Version of Record valid from 2025-06-08
Article History
Accepted: 19 May 2025
First Online: 8 June 2025
Declarations
:
: The authors declare that they have no conflict of interest.