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Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications 2023 edition
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).
225 pages, 1 Illustrations, black and white; XVI, 225 p. 1 illus.
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 31 mai 2024 |
| ISBN13 | 9789811975561 |
| Éditeurs | Springer Verlag, Singapore |
| Pages | 225 |
| Dimensions | 150 × 220 × 10 mm · 376 g |
| Éditeur | Chan, Chee Seng |
| Éditeur | Fan, Lixin |
| Éditeur | Yang, Qiang |