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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Efficiently Detecting DBMS Bugs through Bottom-up Syntax-based SQL Generation

Yu Liang (The Pennsylvania State University), Peng Liu (The Pennsylvania State University)

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Pruning the Tree: Rethinking RPKI Architecture from the Ground...

Haya Schulmann (Goethe-Universität Frankfurt and ATHENE German Research Center for Applied Cybersecurity), Niklas Vogel (Goethe-Universität Frankfurt and ATHENE German Research Center for Applied Cybersecurity)

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SACK: Systematic Generation of Function Substitution Attacks Against Control-Flow...

Zhechang Zhang (The Pennsylvania State University), Hengkai Ye (The Pennsylvania State University), Song Liu (University of Delaware), Hong Hu (The Pennsylvania State University)

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