Data4SoftSec: The 1st Workshop on Datasets for Software Security, co-located with IEEE Security & Privacy. Datasets are fundamental to the development, evaluation, and benchmarking of techniques that drive progress across almost all domains of software security research. Despite ongoing open-science efforts to promote dataset sharing, software security researchers still encounter substantial obstacles in constructing, releasing, and reusing such datasets. The workshop brings together researchers from academia, industry, and government to explore new directions for improving software security research datasets, including data quality, sharing, sustainability, ethics, and data-driven security techniques. Partially supported by an NSF CIRC Planning-C project, the workshop also includes a panel discussion on infrastructure and datasets for software vulnerability management.
by Kun Sun (George Mason University), Baishakhi Ray (Columbia University), Xinda Wang (University of Texas at Dallas)
The 1st Workshop on Datasets for Software Security, co-located with IEEE Security & Privacy, held on May 21, 2026 in San Francisco, CA. The workshop includes keynote talks, a program of accepted papers, and a panel discussion (3:15pm - 4:30pm) supported by an NSF CIRC Planning-C project, convening experts to discuss practical needs and design directions for advancing software vulnerability research and practice.