ProIA couples graph prompt pre-training with a disentanglement module to improve membership and attribute inference attacks on GNNs, with gains reported on five datasets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Prompt-based Unifying Inference Attack on Graph Neural Networks
ProIA couples graph prompt pre-training with a disentanglement module to improve membership and attribute inference attacks on GNNs, with gains reported on five datasets.