2 papers
cs.SE2026
How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
Hua Yang, Alejandro Velasco, Thanh Le-Cong +3
The success of large language models for code relies on vast amounts of code data, including public open-source repositories, such as GitHub, and private, confidential code from co…
cs.SE2025
Secure or Suspect? Investigating Package Hallucinations of Shell Command in Original and Quantized LLMs
Md Nazmul Haque, Elizabeth Lin, Lawrence Arkoh +2
Large Language Models for code (LLMs4Code) are increasingly used to generate software artifacts, including library and package recommendations in languages such as Go. However, rec…