3 datasets found

DaCeML is a Data-Centric Machine Learning framework that provides a simple, flexible, and customizable pipeline for optimizing training of arbitrary deep neural networks.

This dataset is used to test the robustness of watermarking methods against adaptive attacks.

The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors used Rosenbrock function for optimization.