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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VulSCA: A Community-Level SCA Approach for Accurate C/C++ Supply...

Yutao Hu (Huazhong University of Science and Technology), Chaofan Li (Huazhong University of Science and Technology), Yueming Wu (Huazhong University of Science and Technology), Yifeng Cai (Peking University), Deqing Zou (Huazhong University of Science and Technology)

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Convergent Privacy Framework for Multi-layer GNNs through Contractive Message...

Yu Zheng (University of California, Irvine), Chenang Li (University of California, Irvine), Zhou Li (University of California, Irvine), Qingsong Wang (University of California, San Diego)

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Poster: From Earth to Orbit: A Quantum-Secure Authentication Key-Establishment...

Salman Shamshad (University of Bristol, Bristol, United Kingdom), Waqas Bin Abbas (University of Bristol, Bristol, United Kingdom), Sana Belguith (University of Bristol, Bristol, United Kingdom), Lucy Berthoud (University of Bristol, Bristol, United Kingdom)

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