Digital Watermarking for Machine Learning Model

Discover the essential insights in "Digital Watermarking for Machine Learning Model" by Lixin Fan, published by Springer Verlag in 2024. This informative paperback edition spans 225 pages and delves into the crucial topic of protecting machine learning (ML) models, particularly large pretrained deep learning (DL) models, which hold significant economic value. As the demand for advanced ML applications grows, so does the need for robust intellectual property rights (IPR) protection. This book provides a comprehensive exploration of digital watermarking techniques designed to safeguard these valuable digital assets. Ideal for researchers, practitioners, and anyone interested in the intersection of machine learning and intellectual property, this work is a must-have for your professional library. Enhance your understanding of ML model protection with this authoritative resource.