Abstract: Smart power grids are vulnerable to security threats due to their cyber-physical nature. Existing data-driven detectors aim to address simple traditional false data injection attacks (FDIAs) ...

Abstract: Inspired by the successful application of dealing with graph-structured data, graph neural networks (GNNs) have captured significant research attention. Considering the privacy protection of ...