Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications
tarafından
Fan, Lixin. editor.
Başlık
:
Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications
Yazar
:
Fan, Lixin. editor.
ISBN
:
9789811975547
Basım Bilgisi
:
1st ed. 2023.
Fiziksel Tanımlama
:
XVI, 225 p. 1 illus. online resource.
İçerik
:
Part I. Preliminary -- Chapter 1. Introduction -- Chapter 2. Ownership Verification Protocols for Deep Neural Network Watermarks -- Part II Techniques -- Chapter 3. ModelWatermarking for Image Recovery DNNs -- Chapter 4. The Robust and Harmless ModelWatermarking -- Chapter 5. Protecting Intellectual Property of Machine Learning Models via Fingerprinting the Classification Boundary -- Chapter 6. Protecting Image Processing Networks via Model Water -- Chapter 7. Watermarks for Deep Reinforcement Learning -- Chapter 8. Ownership Protection for Image Captioning Models -- Chapter 9.Protecting Recurrent Neural Network by Embedding Key -- Part III Applications -- Chapter 10. FedIPR: Ownership Verification for Federated Deep Neural Network Models -- Chapter 11. Model Auditing For Data Intellectual Property .
Yazar Ek Girişi
:
Fan, Lixin.
Chan, Chee Seng.
Yang, Qiang.
Tüzel Kişi Ek Girişi
:
SpringerLink (Online service)
Elektronik Erişim
:
| Kütüphane | Materyal Türü | Demirbaş Numarası | Yer Numarası | [[missing key: search.ChildField.HOLDING]] | Durumu/İade Tarihi |
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| Çevrimiçi Kütüphane | E-Kitap | 520418-1001 | ONLINE | | Elektronik Kütüphane |