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.

View More Papers

Dilipa: Making Micropatches from Edits to Lifted C

Henny Sipma, Ricardo Baratto, Ben Karel, Michael Gordon (Aarno Labs)

Read More

PhyFuzz: Detecting Sensor Vulnerabilities with Physical Signal Fuzzing

Zhicong Zheng (Zhejiang University), Jinghui Wu (Zhejiang University), Shilin Xiao (Zhejiang University), Yanze Ren (Zhejiang University), Chen Yan (Zhejiang University), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University)

Read More

LinkGuard: A Lightweight State-Aware Runtime Guard Against Link Following...

Bocheng Xiang (Fudan University), Yuan Zhang (Fudan University), Hao Huang (Fudan university), Fengyu Liu (Fudan University), Youkun Shi (Fudan University)

Read More