Sayak Saha Roy

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I am a Ph.D. candidate in the Security and Privacy Research Lab at the University of Texas at Arlington, where I specialize in studying online abuse, particularly social engineering attacks across various platforms, with an emphasis on developing real-time frameworks for detecting and reporting these threats. I take an interdisciplinary approach in my research, integrating methods from Machine Learning, Natural Language Processing, Social Computing, and Software Security.

My work has been featured in several top-tier conferences, including IEEE S&P 2024, ICWSM 2024, and ACM IMC 2023. Notably, our research on exploiting commercial Large Language Models to create evasive phishing scams was recognized with the Distinguished Paper award at IEEE S&P 2024. Additionally, my contributions have been recognized with two Comcast Innovation Grant awards in 2022 and 2024.

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