作者：Lazarine, Ben Uribe; Samtani, Sagar; Zhu, Hongyi; Venkataraman, Ramesh
作者单位：Auburn University System; Auburn University; Indiana University System; Indiana University Bloomington; University of Texas System; University of Texas at San Antonio; Indiana University System; Indiana University Bloomington
摘要：Artificial intelligence (AI) developers have leveraged open source software (OSS) to accelerate AI's progress. However, this has introduced security issues, including newly developed machine learning open-source software (MLOSS) repositories inheriting vulnerabilities from each other, typically lacking any explicit signal. In this study, we adopted the computational design science paradigm to design a novel MLOSS Link Prediction framework to map the spread of vulnerabilities across AI. We prop...
