AI RESEARCH
Adversarial Attacks on Locally Private Graph Neural Networks
arXiv CS.LG
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ArXi:2603.20746v1 Announce Type: new Graph neural network (GNN) is a powerful tool for analyzing graph-structured data. However, their vulnerability to adversarial attacks raises serious concerns, especially when dealing with sensitive information. Local Differential Privacy (LDP) offers a privacy-preserving framework for