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Dianxiang Xu, Ph.D.

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Division of Computing, Analytics and Mathematics

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Compact Abstract Graphs for Detecting Code Vulnerability with GNN Models

Luo, Yu, Weifeng Xu, and Dianxiang Xu. 2022. “Compact Abstract Graphs for Detecting Code Vulnerability With GNN Models”. In Annual Computer Security Applications Conference (ACSAC’22).
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Last updated on 05/10/2023

Recent Publications

  • SMT-Based Verification of NGAC Policies
  • Coverage-Based Testing of Obligations in NGAC Systems
  • Compact Abstract Graphs for Detecting Code Vulnerability with GNN Models
  • Compact Abstract Graphs for Detecting Code Vulnerability with GNN Models
  • Towards Designing Shared Digital Forensics Instructional Materials
  • Visualizing and Reasoning about Presentable Digital Forensic Evidence with Knowledge Graphs

Dianxiang Xu, Ph.D.

Professor and Director  

Division of Computing, Analytics and Mathematics
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352H Flarsheim Hall, 5110 Rockhill

Kansas City, MO 64110

dxu@umkc.edu

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