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ISWP: Novel high-fidelity adversarial examples generated by incorporating invisible and secure watermark perturbations

Published Online: 2024-11-28

Published Print: 2025-01

Authors

Liang, Jinchao

Liu, Yang

Gao, Lu

Zhang, Ze

Liu, Xiaolong https://orcid.org/0009-0000-3427-9255
Funding

Funding for this research was provided by:

scientific and technological innovation of Fujian agriculture and Forestry University (KFb22091XA)

National Natural Science Foundation of China (61972093)
License Information

Text and Data Mining valid from 2024-11-28

Version of Record valid from 2024-11-28
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Article History

Accepted: 21 October 2024

First Online: 28 November 2024

Declarations

:

: The authors declare no conflict of interest.

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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