This $299,886 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop new big data algorithms that are robust to adversarial input. The award supports research to address emerging vulnerabilities in areas such as black-box streaming algorithms, white-box streaming algorithms, and adaptive data analysis with bounded space. This work will focus on improving the reliability, security, and trustworthiness of AI systems in safety-critical applications like healthcare and finance. The project, led by the Texas A&M Engineering Experiment Station (Tees), will involve graduate student participation and outreach to local high school students. The award will fund this 3-year research effort from January 1, 2024 through December 31, 2026. No federal grant sub-awards are planned under this award.
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