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cs.CR2022★ 3 cited
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
Mauro Conti, Jiaxin Li, Stjepan Picek +1
Graph Neural Networks (GNNs), inspired by Convolutional Neural Networks (CNNs), aggregate the message of nodes' neighbors and structure information to acquire expressive representa…
cs.CR2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
Jing Xu, Rui Wang, Stefanos Koffas +2
Graph Neural Networks (GNNs) are a class of deep learning-based methods for processing graph domain information. GNNs have recently become a widely used graph analysis method due t…