![Cover image for Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications Cover image for Digital Watermarking for Machine Learning Model Techniques, Protocols and Applications](/client/assets/5.0.0.9/ctx//client/images/no_image.png)
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 Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-19-7554-7Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
---|---|---|---|---|---|
Searching... | E-Book | 520418-1001 | XX(520418.1) | Searching... | Searching... |