22 citations · 22 across the 2 of their papers we have counts for
3 papers · 1 filter
Energy-based Out-of-distribution Detection
Weitang Liu, Xiaoyun Wang, John D. Owens +1
Determining whether inputs are out-of-distribution (OOD) is an essential building block for safely deploying machine learning models in the open world. However, previous methods re…
GraphDefense: Towards Robust Graph Convolutional Networks
Xiaoyun Wang, Xuanqing Liu, Cho-Jui Hsieh
In this paper, we study the robustness of graph convolutional networks (GCNs). Despite the good performance of GCNs on graph semi-supervised learning tasks, previous works have sho…
Attack Graph Convolutional Networks by Adding Fake Nodes
Xiaoyun Wang, Minhao Cheng, Joe Eaton +2
In this paper, we study the robustness of graph convolutional networks (GCNs). Previous work have shown that GCNs are vulnerable to adversarial perturbation on adjacency or feature…