2 papers
cs.LG2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack
Ao Liu, Beibei Li, Tao Li +2
Recent studies have revealed the vulnerability of graph convolutional networks (GCNs) to edge-perturbing attacks, such as maliciously inserting or deleting graph edges. However, a…
cs.CR2020
SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space
Ao Liu, Yunpeng Wang, Tao Li
In the encrypted network traffic intrusion detection, deep learning based schemes have attracted lots of attention. However, in real-world scenarios, data is often insufficient (fe…