Published multiple papers, such as 'MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models' and 'BTS: A Comprehensive Benchmark for Tie Strength Prediction'. Several preprints are also available online. Received awards including Dean’s Doctoral Student Award and Engineering Graduate Fellowship. Invited to serve as a member of several academic conferences and workshops.
Research Experience
Research intern at AT&T Labs, working on enhancing the serviceability of Large Language Models (LLMs). Previously worked at NDS Lab under the supervision of Dr. Derr.
Education
Ph.D. student in Computer Science at Florida State University, advised by Dr. Yushun Dong.
Background
Research interests: enhancing the utility, security, and efficiency of Machine Learning as a Service (MLaaS), with applications ranging from graph-based learning to natural language processing and computer vision. Also broadly interested in social network analysis and AI for social good, focusing on how AI can help address key societal challenges.