54 citations · 111 across the 10 of their papers we have counts for
4 papers · 1 filter
Data-Driven AI Model Signal-Awareness Enhancement and Introspection
Sahil Suneja, Yufan Zhuang, Yunhui Zheng +2
AI modeling for source code understanding tasks has been making significant progress, and is being adopted in production development pipelines. However, reliability concerns, espec…
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Yangruibo Ding, Luca Buratti, Saurabh Pujar +3
Understanding the functional (dis)-similarity of source code is significant for code modeling tasks such as software vulnerability and code clone detection. We present DISCO(DIS-si…
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
Yufan Zhuang, Sahil Suneja, Veronika Thost +3
Identifying vulnerable code is a precautionary measure to counter software security breaches. Tedious expert effort has been spent to build static analyzers, yet insecure patterns…
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis
Yunhui Zheng, Saurabh Pujar, Burn Lewis +6
Static analysis tools are widely used for vulnerability detection as they understand programs with complex behavior and millions of lines of code. Despite their popularity, static…