Welcome to the Secure, Trustworthy, and Reliable AI (Star-AI) Lab.

At Star-AI (★AI) Lab, we focus on cutting-edge research to make the online space safer.

To this end, we develop novel methods in three key areas: AI-enabled cybersecurity, Security of AI, and Privacy of AI. Please see our current projects and publications in each area from our team 😊 .

Recent News

Founder’s Bio, Curriculum vitae, and Google Scholar

   Reza Ebrahimi

   ebrahimim[ at ]usf.edu

Reza is an assistant professor and the director of Star-AI Lab at the School of Information Systems and Management (SISM) at the University of South Florida. He received his Ph.D. in Management Information Systems from the University of Arizona, where he was a research associate at the Artificial Intelligence (AI) Lab in 2021. He received his master’s degree in Computer Science from Concordia University, Canada, in 2016. His Master’s thesis leveraged crime data mining to enhance juveniles’ safety in cyberspace. Reza’s PhD dissertation on AI-enabled cybersecurity analytics won the ACM SIGMIS best doctoral dissertation award in 2021. Reza’s research focuses on statistical and adversarial machine learning for AI-enabled secure and trustworthy cyberspace.

Reza has published 39 articles in peer reviewed security journals, conferences, and workshops, including NeurIPS, ICLR, IEEE TPAMI, IEEE TDSC, IEEE S&PW, IEEE ACSAC, AAAIW, IEEE ISI, IEEE ICDMW, Applied Artificial Intelligence, Digital Forensics, MIS Quarterly, and JMIS. He has been serving as a Program Chair and Program Committee member in IEEE ICDM Workshop on Machine Learning for Cybersecurity (MLC) and IEEE S&P Workshop on Deep Learning Security and Privacy (DLSP). He servs as an organizer of 2025 IEEE S&P Workshop on Human-Machine Intelligence for Security Analytics (HMI-SA). He has contributed to several projects supported by the National Science Foundation (NSF). He is an IEEE Senior Member and a member of the ACM, AAAI, and AIS.