Vulnerabilities
Study Examines Data Privacy Risks in Graph Neural Networks
Researchers from The Pennsylvania State University and Hong Kong University of Science and Technology have published a study addressing the risks of data leakage in Graph Neural Networks (GNNs) and introduced a framework called GraphSteal to reconstruct training graphs while safeguarding privacy.