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Found 2 papers, 1 papers with code
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
However, as GNNs may inherit historical bias from training data and lead to discriminatory predictions, the bias of local models can be easily propagated to the global model in distributed settings.
Property inference attack; Graph neural networks; Privacy attacks and defense; Trustworthy machine learning
In this work, we focus on a particular type of privacy attacks named property inference attack (PIA) which infers the sensitive properties of the training data through the access to the target ML model.
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