conf.researchr.org / Benjamin Steenhoek
Registered user since Thu 12 Dec 2024
Name:Benjamin Steenhoek
Bio:
I’m a researcher at Microsoft. My research interests lie at the intersection of machine learning and software engineering. I think that the current methods for program analysis are limited by only relying on an analytical approach, and that they will be much improved by integrating probabilistic reasoning which can be achieved by training deep learning with big data.
Country:United States
Affiliation:Microsoft
Personal website: https://benjijang.com
GitHub: https://github.com/bstee615
Research interests:Software Engineering, Program Analysis, Vulnerability Detection, Machine Learning, Deep Learning
Contributions
2024
ICSE
- Author of TRACED: Execution-aware Pre-training for Source Code within the Research Track-track
- Author of Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection within the Research Track-track
- Author of Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection within the Artifact Evaluation-track