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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Osama Al Haddad (Macquarie University, Sydney, Australia), Muhammad Ikram (Macquarie University, Sydney, Australia), Young Choon Lee (Macquarie University, Sydney, Australia), Muhammad Ejaz Ahmed (Data61 CSIRO, Sydney, Australia)

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Benchmarking and Understanding Safety Risks in AI Character Platforms

Yiluo Wei (The Hong Kong University of Science and Technology (Guangzhou)), Peixian Zhang (The Hong Kong University of Science and Technology (Guangzhou)), Gareth Tyson (The Hong Kong University of Science and Technology (Guangzhou))

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MUTATO: Enhancing Fuzz Drivers with Adaptive API Option Mutation

Shuangxiang Kan (University of New South Wales), Xiao Cheng (Macquarie University), Yuekang Li (University of New South Wales)

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