IDEA: Invariant defense for graph adversarial robustness

S Tao, Q Cao, H Shen, Y Wu, B Xu, X Cheng - Information Sciences, 2024 - Elsevier
Despite the success of graph neural networks (GNNs), their vulnerability to adversarial
attacks poses tremendous challenges for practical applications. Existing defense methods …
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IDEA: Invariant Causal Defense for Graph Adversarial Robustness

S Tao, Q Cao, H Shen, Y Wu, X Bingbing, X Cheng - openreview.net
Despite the success of graph neural networks (GNNs), their vulnerability to adversarial
attacks poses tremendous challenges for practical applications. Existing defense methods …

IDEA: Invariant Defense for Graph Adversarial Robustness

S Tao, Q Cao, H Shen, Y Wu, B Xu, X Cheng - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Despite the success of graph neural networks (GNNs), their vulnerability to adversarial
attacks poses tremendous challenges for practical applications. Existing defense methods …