3 citations · 5 across the 5 of their papers we have counts for
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cs.CR2023★ 3 cited
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
Aiheng Zhang, Qiguang Jiang, Kai Wang +1
With the development of intelligent transportation systems, vehicles are exposed to a complex network environment. As the main network of in-vehicle networks, the controller area n…
cs.NI2023★ 2 cited
STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
Kai Wang, Qiguang Jiang, Bailing Wang +2
In-vehicle network (IVN) is facing complex external cyber-attacks, especially the emerging masquerade attacks with extremely high difficulty of detection while serious damaging eff…
cs.CL2023
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
Haotian Li, Bin Yu, Yuliang Wei +3
Knowledge graph completion (KGC) revolves around populating missing triples in a knowledge graph using available information. Text-based methods, which depend on textual descriptio…