Schorlemmer, Taylor R.

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry

Jiang, W., Synovic, N., Hyatt, M., Schorlemmer, T. R., Sethi, R., Lu, Y.-H., Thiruvathukal, G. K., & Davis, J. C. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 76

SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties

Okafor, C., Schorlemmer, T. R., Torres-Arias, S., & Davis, J. C. (2024) · arXiv

Information and Cyber SecuritySecurity and Verification in Computing

Cited by 56

An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures

Singla, T., Anandayuvaraj, D., Kalu, K. G., Schorlemmer, T. R., & Davis, J. C. (2023) · Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses

Information and Cyber SecuritySoftware Engineering Research

Cited by 26