Hide and Find: A Distributed Adversarial Attack on Federated Graph Learning
Hide and Find: A Distributed Adversarial Attack on Federated Graph Learning explores FedShift is a stealthy and efficient adversarial attack method for federated graph learning, offering a robust solution for evaluating and improving the security of FedGL systems.. Commercial viability score: 7/10 in Federated Learning Security.
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