Graph Neural Networks (GNNs) are vulnerable to backdoor attacks, where triggers inserted into original graphs cause adversary-determined predictions. Backdoor attacks on GNNs, typically focusing on ...
Abstract: Graph-based vertical federated learning (GVFL) enables a service provider (i.e., active party) who owns a labeled graph to collaborate with passive parties who possess auxiliary node ...
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