Software vulnerabilities represent an enduring threat to modern cyberspace. Effective vulnerability detection increasingly relies on reasoning about complex program semantics, structural dependencies, and execution behaviors. Consequently, extracting vulnerability-relevant features from code efficiently has become a pr...
Jun-Jie Wang, Tong Yu, Ming Li et al.· Transactions on Graph Intell...· 0 citations
This survey presents the first comprehensive and systematic review of Differentially Private Graph Learning (DPGL), and organizes existing DPGL methods into four categories based on the granularity of privacy protection, namely node-level, edge-level, graph-level, and node-level.
Li Sun, Long-Zhu He, Ming Li et al.· Transactions on Graph Intell...· 1 citation
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