3 papers
cs.SE2026
An Empirical Study on Remote Code Execution in Machine Learning Model Hosting Ecosystems
Mohammed Latif Siddiq, Tanzim Hossain Romel, Natalie Sekerak +2
Model-sharing platforms, such as Hugging Face, ModelScope, and OpenCSG, have become central to modern machine learning development, enabling developers to share, load, and fine-tun…
cs.SE2025
Assessing the Software Security Comprehension of Large Language Models
Mohammed Latif Siddiq, Natalie Sekerak, Antonio Karam +3
Large language models (LLMs) are increasingly used in software development, but their level of software security expertise remains unclear. This work systematically evaluates the s…
cs.SE2025
Large Language Models for Software Engineering: A Reproducibility Crisis
Mohammed Latif Siddiq, Arvin Islam-Gomes, Natalie Sekerak +1
Reproducibility is a cornerstone of scientific progress, yet its state in large language model (LLM)-based software engineering (SE) research remains poorly understood. This paper…