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In this paper, we study the problem of learning Graph Neural Networks (GNNs) with Differential Privacy (DP).
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Node-level differentially private graph neural networks
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Node-level membership inference attacks against graph neural networks
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Iyiola E Olatunji, Thorben Funke, and Megha Khosla · 2021
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Membership inference attack on graph neural networks
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Locally private graph neural networks
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A review on graph neural network methods in financial applications
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