Protecting Deep Neural Network Intellectual Property with Chaos-Based White-Box Watermarking

ArXi:2512.16658v2 Announce Type: replace-cross The rapid proliferation of deep neural networks (DNNs) across several domains has led to increasing concerns regarding intellectual property (IP) protection and model misuse. Trained DNNs represent valuable assets, often developed through significant investments. However, the ease with which models can be copied, redistributed, or repurposed highlights the urgent need for effective mechanisms to assert and verify model ownership.