Gotcha ! This model uses my code ! Evaluating membership leakage risks in code models

• Main Authors: YANG, Zhou, ZHAO, Zhipeng, WANG, Chenyu, SHI, Jieke, KIM, Dongsum, HAN, Donggyun, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Membership inference attack; Privacy; Large Langauge Models for code; Code completion; Information Security; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/9889; https://ink.library.smu.edu.sg/context/sis_research/article/10889/viewcontent/2310.01166v2.pdf
• Institution: Singapore Management University

Leveraging large-scale datasets from open-source projects and advances in large language models, recent progress has led to sophisticated code models for key software engineering tasks, such as program repair and code completion. These models are trained on data from various sources, including publi...