Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications /
Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event i...
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| Autor Corporativo: | SpringerLink (Online service) |
|---|---|
| Otros Autores: | Fan, Lixin (Editor), Chan, Chee Seng (Editor), Yang, Qiang (Editor) |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
|
| Edición: | 1st ed. 2023. |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-981-19-7554-7 |
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