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
https://doi.org/10.1007/978-981-19-7554-7


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book520418-1001ONLINEElektronik Kütüphane