Watermarking of Deep Recurrent Neural Network Using Adversarial Examples to Protect Intellectual Property
In the present era, deep learning algorithms are the key elements of several state-of-the-art solutions. But developing these algorithms for production requires a huge volume of data, computational resources, and human expertise. Thus, illegal reproduction, distribution, and modification of these mo...
| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
Taylor & Francis Group
2022-12-01
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| Series: | Applied Artificial Intelligence |
| Subjects: | |
| Acceso en liña: | http://dx.doi.org/10.1080/08839514.2021.2008613 |