most citedMemorization in Graph Neural Networks

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cs.CR2025

Adversarial Attacks and Defenses on Graph-aware Large Language Models (LLMs)

Iyiola E. Olatunji, Franziska Boenisch, Jing Xu +1

Large Language Models (LLMs) are increasingly integrated with graph-structured data for tasks like node classification, a domain traditionally dominated by Graph Neural Networks (G…

cs.CR2025

ADAGE: Active Defenses Against GNN Extraction

Jing Xu, Franziska Boenisch, Adam Dziedzic

Graph Neural Networks (GNNs) achieve high performance in various real-world applications, such as drug discovery, traffic states prediction, and recommendation systems. The fact th…