7 citations · 7 across the 2 of their papers we have counts for
4 papers
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries
Nima Shiri Harzevili, Jiho Shin, Junjie Wang +1
The application of machine learning (ML) libraries has been tremendously increased in many domains, including autonomous driving systems, medical, and critical industries. Vulnerab…
CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing
Moshi Wei, Yuchao Huang, Jinqiu Yang +2
Deep learning-based code processing models have shown good performance for tasks such as predicting method names, summarizing programs, and comment generation. However, despite the…
Characterizing and Understanding Software Developer Networks in Security Development
Song Wang, Nachi Nagappan
To build secure software, developers often work together during software development and maintenance to find, fix, and prevent security vulnerabilities. Examining the nature of dev…
Cutting Away the Confusion From Crowdtesting
Junjie Wang, Mingyang Li, Song Wang +2
Crowdtesting is effective especially when it comes to the feedback on GUI systems, or subjective opinions about features. Despite of this, we find crowdtesting reports are highly r…