Multi-bit watermarking for deep models via clean trigger samples and pairwise class-difference vectors
Abstract High-performance deep learning models have become an important form of intellectual property. However, these valuable models may be exploited for commercial purposes without authorization due to illegal activities, causing serious infringement of the model owners’ copyright. To address this...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-01-01
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| coleção: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44443-025-00437-0 |
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