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A Machine Learning Approach to Classify Security Patches into Vulnerability Types.

, , , , and . CNS, page 1-9. IEEE, (2020)

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Other publications of authors with the same name

GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics., , , , , and . SP, page 2409-2426. IEEE, (2023)PatchDB: A Large-Scale Security Patch Dataset., , , , and . DSN, page 149-160. IEEE, (2021)Detecting "0-Day" Vulnerability: An Empirical Study of Secret Security Patch in OSS., , , and . DSN, page 485-492. IEEE, (2019)BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning., , , , , , and . AsiaCCS, ACM, (2024)A Machine Learning Approach to Classify Security Patches into Vulnerability Types., , , , and . CNS, page 1-9. IEEE, (2020)Word sense disambiguation by semantic inference., , , and . BESC, page 1-6. IEEE, (2017)PatchRNN: A Deep Learning-Based System for Security Patch Identification., , , , , , and . MILCOM, page 595-600. IEEE, (2021)SysCap: Profiling and Crosschecking Syscall and Capability Configurations for Docker Images., , , , , , and . CNS, page 236-244. IEEE, (2022)DeepEAD: Explainable Anomaly Detection from System Logs., , , , and . ICC, page 771-776. IEEE, (2023)Exploring Security Commits in Python., , , , , and . ICSME, page 171-181. IEEE, (2023)