Taylor R. Schorlemmer

About Me

I am a M.S. researcher in the Purdue ECE Duality Lab. I explore the intersection between secure software supply chains and the reuse of pre-trained neural networks. Ultimately, I aim to improve the quality and security of software systems. 

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Publications

Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors

Schorlemmer, Kalu, Chigges, Ko, Ishgair, Bagchi, Torres-Arias, and Davis.Proceedings of the 45th IEEE Symposium on Security and Privacy (S&P’24) 2024.

An Empirical Study on Using large Language Models to Analyze Software Supply chain Security Failures

Singla, Anandayuvaraj, Kalu, Schorlemmer, and Davis.Proceedings of the 2nd ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses (SCORED) 2023.

Reflecting on the use of the Policy-Process-Product Theory in Empirical Software Engineering

Kalu, Schorlemmer, Chen, Robinson, Kocinare, and Davis.Proceedings of the 31st ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering: Ideas, Visions, and Reflections track (ESEC/FSE-IVR) 2023.

Reusing Deep Learning Models: Challenges and Directions in Software Engineering

Davis, Jajal, Jiang, Schorlemmer, Synovic, and Thiruvathukal.Challenges and Directions in Software Engineering. IEEE JVA Symposium on Modern Computing at IEEE Services 2023.

PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages

Jiang, Synovic, Jajal, Schorlemmer, Tewari, Pareek, Thiruvathukal, and Davis.Proceedings of the 20th Annual Conference on Mining Software Repositories — Data and Tool Showcase Track (MSR- Data’23) 2023.

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

Jiang, Synovic, Hyatt, Schorlemmer, Sethi, Lu, Thiruvathukal, and Davis.Proceedings of the ACM/IEEE 45th International Conference on Software Engineering (ICSE) 2023.

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

Okafor*, Schorlemmer*, Torres-Arias, and Davis.Proceedings of the 1st ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses (SCORED) 2022. 

An Empirical Study of Artifacts and Security Practices in the Pre-trained Model Supply Chain

Jiang, Synovic, Sethi, Indarapu, Hyatt, Schorlemmer, Thiruvathukal, and Davis.Proceedings of the 1st ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses (SCORED) 2022.