Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications
by
Fan, Lixin. editor.
Title
:
Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications
Author
:
Fan, Lixin. editor.
ISBN
:
9789811975547
Edition
:
1st ed. 2023.
Physical Description
:
XVI, 225 p. 1 illus. online resource.
Contents
:
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 .
Added Author
:
Fan, Lixin.
Chan, Chee Seng.
Yang, Qiang.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 520418-1001 | ONLINE | | Elektronik Kütüphane |