20 citations · 28 across the 6 of their papers we have counts for
6 papers
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…
Security in the Age of AI Teammates: An Empirical Study of Agentic Pull Requests on GitHub
Mohammed Latif Siddiq, Xinye Zhao, Vinicius Carvalho Lopes +2
Autonomous coding agents are increasingly deployed as AI teammates in modern software engineering, independently authoring pull requests (PRs) that modify production code at scale.…
An Empirical Study of Safetensors' Usage Trends and Developers' Perceptions
Beatrice Casey, Kaia Damian, Andrew Cotaj +1
Developers are sharing pre-trained Machine Learning (ML) models through a variety of model sharing platforms, such as Hugging Face, in an effort to make ML development more collabo…
A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models
Beatrice Casey, Joanna C. S. Santos, Mehdi Mirakhorli
The development of machine learning (ML) techniques has led to ample opportunities for developers to develop and deploy their own models. Hugging Face serves as an open source plat…
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
Beatrice Casey, Joanna C. S. Santos, George Perry
Machine learning techniques for cybersecurity-related software engineering tasks are becoming increasingly popular. The representation of source code is a key portion of the techni…
FRANC: A Lightweight Framework for High-Quality Code Generation
Mohammed Latif Siddiq, Beatrice Casey, Joanna C. S. Santos
In recent years, the use of automated source code generation utilizing transformer-based generative models has expanded, and these models can generate functional code according to…