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A curated collection of adversarial attack and defense on graph data.
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".
[CIKM 2023] GUARD: Graph Universal Adversarial Defense
PyTorch Implementation for NeurIPS 2022 paper 'Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias'
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