PatchRNN: A Deep Learning-Based System for Security Patch Identification
Paper
• 2108.03358 • Published
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Check out the documentation for more information.
This repository contains Model15 from https://github.com/Adamonia/Security-Patch-Identification-Using-Deep-Learning The model is based on Microsoft-CodeBERT, but trained on PatchDB dataset to detect and classifu Silent Patches related to software Vulnerabilities.
license: apache-2.0
External dependencies:
- PatchDB: Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun and Sushil Jajodia, "PatchDB: A Large-Scale Security Patch Dataset," 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2021), 2021, pp. 149-160, doi: 10.1109/DSN48987.2021.00030.
- PatchRNN: Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia, Sanae Benchaaboun, Frank Geck 2021 IEEE Military Communications Conference (MILCOM), 2021, pp. 595-600 https://arxiv.org/abs/2108.03358
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