Privacy-Enhanced Federated GNN Inference Against Adversarial Example Attack
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE（2024）
Key words
Graph neural networks,Protocols,Cryptography,Federated learning,Perturbation methods,Data models,Training,Servers,Neural networks,Privacy,adversarial example attack,privacy-preserving,secret sharing,homomorphic encryption
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