Digital Watermarking for Machine Learning Model : Techniques, Protocols and Applications
2023 ed.
Book Details
Format
Paperback / Softback
ISBN-10
9811975566
ISBN-13
9789811975561
Edition
2023 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 31st, 2024
Print length
225 Pages
Product Classification:
Electronics engineeringComputer securityNetwork securityMachine learningImage processing
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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).
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