2020
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
NeurIPS 2020spotlight
Graph convolution networks (GCNs) have become effective models for graph classification. Similar to many deep networks, GCNs are vulnerable to adversarial attacks on graph topology and node attributes. Recently, a number of effective attack and defense algorithms have been designed, but no certifica…