Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?

Graph neural networks (GNNs) have shown promising results on real-life datasets and applications, including healthcare, finance, and education. However, recent studies have shown that GNNs are highly vulnerable to attacks such as membership inference attack and link reconstruction attack. Surprising...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Olatunji, Iyiola E, Hizber, Anmar, Sihlovec, Oliver, Khosla, Megha
Format:	Artikel
Sprache:	eng
Schlagworte:	Black boxes Graph neural networks Inference Privacy Structured data
Online-Zugang:	Volltext
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