3 matches found
Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks
The success of deep learning in medical imaging applications has led several companies to deploy proprietary models in diagnostic workflows, offering monetized services. Even though model weights are hidden to protect the intellectual property of the service provider, these models are exposed to...
CEGA: a Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
Graph Neural Networks GNNs have demonstrated remarkable utility across diverse applications, and their growing complexity has made Machine Learning as a Service MLaaS a viable platform for scalable deployment. However, this accessibility also exposes GNN to serious security threats, most notably...
