Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Private Auditing of Large Language Models, ICLR 2025, ICML 2024 NextGenAISafety (Oral)
Private Fine-tuning of Large Language Models with Zeroth-order Optimization, TMLR 2025, TPDP 2024 (Oral)
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization, ICML 2024
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation, ICLR 2024
Differentially Private Image Classification by Learning Priors from Random Processes, NeurIPS 2023 (Spotlight), Journal of Privacy and Confidentiality 2025
Effectively Using Public Data in Privacy Preserving Machine Learning, ICML 2023
Machine Learning with Differentially Private Labels: Mechanisms and Frameworks, PETS 2022
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture, USENIX Security 2022
Background
Works on machine learning and privacy at Apple. Research interests include differentially private machine learning.