Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach - researchr publication authors

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Agrim Sachdeva, Ben Lazarine, Ruchik Dama, Sagar Samtani, Hongyi Zhu. Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach. In K. Selçuk Candan, Thang N. Dinh, My T. Thai, Takashi Washio, editors, IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022. pages 1-8, IEEE, 2022. [doi]

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