Sachdeva, Agrim, Lazarine, Ben, Dama, Ruchik, Samtani, Sagar, and Zhu, Hongyi. Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach. Retrieved from https://par.nsf.gov/biblio/10427451. ” IEEE International Conference on Data Mining Workshop on Machine Learning for Cybersecurity . Web. doi:10.1109/ICDMW58026.2022.00084.

Sachdeva, Agrim, Lazarine, Ben, Dama, Ruchik, Samtani, Sagar, & Zhu, Hongyi. Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach. ” IEEE International Conference on Data Mining Workshop on Machine Learning for Cybersecurity, (). Retrieved from https://par.nsf.gov/biblio/10427451. https://doi.org/10.1109/ICDMW58026.2022.00084

Sachdeva, Agrim, Lazarine, Ben, Dama, Ruchik, Samtani, Sagar, and Zhu, Hongyi. "Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach". ” IEEE International Conference on Data Mining Workshop on Machine Learning for Cybersecurity (). Country unknown/Code not available. https://doi.org/10.1109/ICDMW58026.2022.00084. https://par.nsf.gov/biblio/10427451.

@article{osti_10427451,
place = {Country unknown/Code not available}, title = {Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach}, url = {https://par.nsf.gov/biblio/10427451}, DOI = {10.1109/ICDMW58026.2022.00084}, abstractNote = {}, journal = {” IEEE International Conference on Data Mining Workshop on Machine Learning for Cybersecurity}, author = {Sachdeva, Agrim and Lazarine, Ben and Dama, Ruchik and Samtani, Sagar and Zhu, Hongyi}, }