research
∙
01/13/2023
Data Quality for Software Vulnerability Datasets
The use of learning-based techniques to achieve automated software vulne...
share
research
∙
03/15/2022
SmartValidator: A Framework for Automatic Identification and Classification of Cyber Threat Data
A wide variety of Cyber Threat Information (CTI) is used by Security Ope...
research
∙
03/09/2022
Noisy Label Learning for Security Defects
Data-driven software engineering processes, such as vulnerability predic...
research
∙
12/20/2021
An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources
Software Vulnerability (SV) severity assessment is a vital task for info...
research
∙
09/13/2021
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review
Software Vulnerability Prediction (SVP) is a data-driven technique for s...
research
∙
08/18/2021
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning
It is increasingly suggested to identify Software Vulnerabilities (SVs) ...
research
∙
07/29/2021
An Empirical Study of Developers' Discussions about Security Challenges of Different Programming Languages
Given programming languages can provide different types and levels of se...
research
∙
07/05/2021
An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing
Background: Static Application Security Testing (SAST) tools purport to ...
research
∙
08/10/2020
Demystifying the Mysteries of Security Vulnerability Discussions on Developer Q A Sites
Detection and mitigation of Security Vulnerabilities (SVs) are integral ...
research
∙
03/08/2020