BadImplant is the first multi-targeted backdoor attack on GNN graph classification that uses subgraph injection to achieve high success rates on multiple target labels with minimal clean accuracy loss.
Image classification using graph neural network and multiscale wavelet superpixels,
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BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack
BadImplant is the first multi-targeted backdoor attack on GNN graph classification that uses subgraph injection to achieve high success rates on multiple target labels with minimal clean accuracy loss.