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Kelley's Data Science and AI Lab - DSAIL

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  • Yang Gao

Yang Gao

The professional headshot of Yang Gao
Email:
gaoyang@iu.edu
Department:
Operations and Decision Technologies (ODT)
Campus:
IU, IU Bloomington
Major:
Information Systems

Resume/CV

Bio

Yang Gao is a fourth-year Ph.D. Candidate in the Department of Operations and Decision Technologies at the Kelley School of Business, Indiana University. She works as a Research Associate at IU's Data Science and Artificial Intelligence Lab (DSAIL). Her current work focuses on cybersecurity, particularly on examining the robustness of machine learning-based anti-phishing detectors through adversarial emulation and enhancing their resilience. Her methodologies involve adversarial machine learning, deep reinforcement learning, and large language models. She has published her cybersecurity work in ACM Digital Threats: Research and Practice (DTRAP), the IEEE Security and Privacy (IEEE S&P) Human-Machine Intelligence for Security Analytics (HMISA) Workshop, and the Hawaii International Conference on Systems Sciences (HICSS). She also serves as a website editor for the Journal of Management Information Systems (JMIS), the Conference on Applied Machine Learning in Information Security (CAMLIS), the ACM KDD Workshop on AI-enabled Cybersecurity Analytics (AI4Cyber), and Kelley’s Data Science and Artificial Intelligence Lab (DSAIL). She has reviewed papers for multiple conferences and won the Best Reviewer Award at the 7th INFORMS Workshop on Data Science (WDS). She is a member of AIS, INFORMS, ACM, and IEEE.

Research Interests

I am interested in adversarial machine learning and deep reinforcement learning. My current research focuses on cybersecurity, particularly on making machine learning-based anti-phishing detectors more robust through adversarial machine learning.

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