
Graph Neural Networks (GNNs) have found applications in various domains, such as natural language processing, social network analysis, recommendation systems, etc. Due to its widespread usage, improving the defences of GNNs has emerged as a critical challenge. While exploring the mechanisms vulnerable to an attack, researchers came across Bit Flip Attacks (BFAs). Conventionally, BFAs were […]
The post Meet Crossfire: An Elastic Defense Framework for Graph Neural Networks under Bit Flip Attacks appeared first on MarkTechPost.