2. Purifying Approximate Differential Privacy with Randomized Post-processing
Co-authors: Yingyu Lin, Yi-An Ma, Yu-Xiang Wang
Conferences: NeurIPS 2025, TPDP 2025
3. Beyond Per-Question Privacy: Multi-Query Differential Privacy for RAG Systems
Co-authors: Ruihan Wu, Yu-Xiang Wang
Conference: NeurIPS 2025 Workshop: Reliable ML from Unreliable Data
Research Experience
Position: Ph.D. Student
Work Experience: Conducting research at Halıcıoğlu Data Science Institute
Education
Degree: Ph.D. in Data Science
University: University of California San Diego (UCSD)
Advisors: Yu-Xiang Wang, Yi-An Ma
Duration: July 2024 - July 2027 (Estimated)
Field: Data Science
Background
Research Interests: Differentially private machine learning. Recently, focusing on how techniques from differential privacy can address safety concerns in generative models.