KDDAug, 2020
图神经网络对抗性结构扰动的可靠鲁棒性认证
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation
Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
TL;DR本研究针对图形结构数据,基于随机平滑技术,开发出可证明鲁棒性的图神经网络,证明其对于节点和图分类具有结构扰动的认证鲁棒性保证,并在多个 GNN 和多个基准数据集上进行了实证评估。