Second, we design an automated Security Patch Identification system based on commits. Each commit consists of a commit-message and its code revision. We employ two deep neural networks to effectively learn the two respective features of the commits to determine whether if it is a security patch.
May 30, 2021 · To curate security patches including undisclosed patches at a large scale and low cost, we propose a deep neural-network-based approach built ...
Sep 28, 2021 · To efficiently curate security patches including undisclosed patches at large scale and low cost, we propose a deep neural-network-based ...
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Jun 6, 2021 · We devise and implement a deep learning-based security patch identification system that consists of two composite neural networks: one commit- ...
Security patches in open-source software, providing security fixes to identified vulnerabilities, are crucial in protecting against cyberattacks.
May 30, 2021 · A deep learning-based security patch identification system that consists of two composite neural networks that utilizes pretrained word ...
Spi: Automated identification of security patches via commits. Y Zhou, JK ... Enhancing security patch identification by capturing structures in commits. B ...
This work describes an efficient automatic vulnerability identification system geared towards tracking large-scale projects in real time using natural ...
May 30, 2021 · Our experiment results and observation proved that our approach identifies security patches effectively among open-sourced projects. 中文翻译： ...
Spi: Automated identification of security patches via commits. Y Zhou, JK ... Enhancing security patch identification by capturing structures in commits. B Wu ...