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Adam and the Ants: On the Influence of the Optimization Algorithm on the Detectability of DNN Watermarks
As training Deep Neural Networks (DNNs) becomes more expensive, the interest in protecting the ownership of the models with watermarking techniques increases. Uchida et al. proposed a digital watermarking algorithm that embeds the secret message into the model coefficients. However, despite its appe...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7762180/ https://www.ncbi.nlm.nih.gov/pubmed/33279925 http://dx.doi.org/10.3390/e22121379 |