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- research-articleJune 2024
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching
EASE '24: Proceedings of the 28th International Conference on Evaluation and Assessment in Software EngineeringPages 150–159https://doi.org/10.1145/3661167.3661200Generative deep learning (DL) models have been successfully adopted for vulnerability patching. However, such models require the availability of a large dataset of patches to learn from. To overcome this issue, researchers have proposed to start from ...
VulRepair: a T5-based automated software vulnerability repair
ESEC/FSE 2022: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software EngineeringPages 935–947https://doi.org/10.1145/3540250.3549098As software vulnerabilities grow in volume and complexity, researchers proposed various Artificial Intelligence (AI)-based approaches to help under-resourced security analysts to find, detect, and localize vulnerabilities. However, security analysts ...