Akul Goyal (Provenance Security, Inc.), Adam Bates (Provenance Security, Inc.)

Provenance-based security applications are showing tremendous promise in the academic literature, but successfully transition these technologies to practice will require community stakeholders to demonstrate the business potential of provenance analysis. Customer Discovery is a structured process through which early-stage start-ups can validate the commercial potential of an idea through direct interaction with potential customers. As a provenance-based security start-up, we conducted hundreds of customer discovery interviews, and believe that many of our findings would be of interest to the broader academic community. In this position paper, we summarize our findings and consider how they could inform future research on provenance analysis.

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UDIM: Formal User-Device Interaction Model for Approximating Artifact Coverage...

Maximilian Eichhorn (Friedrich-Alexander-Universitat Erlangen-Nurnberg), Andreas Hammer (Friedrich-Alexander-Universitat Erlangen-Nurnberg), Gaston Pugliese (Friedrich-Alexander-Universitat Erlangen-Nurnberg), Felix Freiling (Friedrich-Alexander-Universitat Erlangen-Nurnberg)

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Accurate Identification of the Vulnerability-Introducing Commit based on Differential...

Qixuan Guo (Beijing Jiaotong University), Yongzhong He (Beijing Jiaotong University)

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Work-in-progress: Spurious Credentials in Breach Compilations

Lucas Stephens (Oregon State University), Jacob Porter (Oregon State University), Zane Ma (Oregon State University)

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