32 citations · 69 across the 5 of their papers we have counts for
5 papers
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
David Hin, Andrey Kan, Huaming Chen +1
Current machine-learning based software vulnerability detection methods are primarily conducted at the function-level. However, a key limitation of these methods is that they do no…
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning
Triet H. M. Le, David Hin, Roland Croft +1
It is increasingly suggested to identify Software Vulnerabilities (SVs) in code commits to give early warnings about potential security risks. However, there is a lack of effort to…
A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites
Triet H. M. Le, Roland Croft, David Hin +1
Context: Security Vulnerabilities (SVs) pose many serious threats to software systems. Developers usually seek solutions to addressing these SVs on developer Question and Answer (Q…
StackOverflow vs Kaggle: A Study of Developer Discussions About Data Science
David Hin
Software developers are increasingly required to understand fundamental Data science (DS) concepts. Recently, the presence of machine learning (ML) and deep learning (DL) has drama…
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning
Triet H. M. Le, David Hin, Roland Croft +1
Security is an increasing concern in software development. Developer Question and Answer (Q&A) websites provide a large amount of security discussion. Existing studies have used hu…