Ben Lazarine
Computer Science · Indiana University
Publications
13
Citations
134
Est. group size
—
Recurring co-author estimate
Active years
8
Publishing since 2018
Ben Lazarine studies cybersecurity within software ecosystems, focusing on finding and predicting security vulnerabilities in open-source code repositories such as those hosted on GitHub and the Hugging Face platform. Much of the recent work applies machine learning methods—especially graph-based techniques that model relationships between code, users, and projects—to assess and prioritize security risks, including in AI systems and scientific computing infrastructure. Earlier work also involved collecting cyber-threat intelligence from hacker communities and dark-web sources.
Publication activity has been steady with a slight upward trend, producing roughly two papers per year over the past several years and three in the most recent year.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Securing the Artificial Intelligence (AI)-Enabled Election Software Stack
2025
- Collecting, Linking, and Assessing Machine Learning Open-Source Software: A Large Scale Collection and Vulnerability Assessment Pipeline
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2025
- Generating Secure Artificial Intelligence Model Source Code: A Reinforcement Learning Approach
2025
- Suggesting Alternatives for Potentially Insecure Artificial Intelligence Repositories: An Unsupervised Graph Embedding Approach
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2024
- Enhancing Vulnerability Prioritization in Cloud Computing Using Multi-View Representation Learning
Journal of Management Information Systems · 2024
- User Profiling and Vulnerability Introduction Prediction in Social Coding Repositories: A Dynamic Graph Embedding Approach
2023
- Assessing the Vulnerabilities of the Open-Source Artificial Intelligence (AI) Landscape: A Large-Scale Analysis of the Hugging Face Platform
2023
- Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach
2022 IEEE International Conference on Data Mining Workshops (ICDMW) · 2022
- Exploring the Propagation of Vulnerabilities from GitHub Repositories Hosted by Major Technology Organizations
2022
- Identifying Vulnerable GitHub Repositories and Users in Scientific Cyberinfrastructure: An Unsupervised Graph Embedding Approach
2020
- Smart Vulnerability Assessment for Scientific Cyberinfrastructure: An Unsupervised Graph Embedding Approach
2020
- Dark-Net Ecosystem Cyber-Threat Intelligence (CTI) Tool
2019
- Identifying, Collecting, and Presenting Hacker Community Data: Forums, IRC, Carding Shops, and DNMs
2018
- Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences×2
- Journal of Management Information Systems×1
- 2022 IEEE International Conference on Data Mining Workshops (ICDMW)×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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