Explainability-Guided Untargeted Attacks on Knowledge Graph Embedding

Knowledge graph embedding (KGE, a technique that converts graph structures into numerical representations for AI tasks) systems can be attacked by deleting or adding false information, which corrupts their learned representations. This paper introduces PathAttack, a new attack method that uses reasoning paths (multi-hop connections between entities) to identify which pieces of data to attack without needing to know targets in advance, showing 5% improvement in attack effectiveness on test datasets.