Xinyu Tang

I work on machine learning and privacy at Apple.

I received Ph.D. from Princeton University advised by Prof. Prateek Mittal. My dissertation was "Effectively Learning From Data and Generating Data in Differentially Private Machine Learning".

I obtained a Bachelor's degree from University of Science and Technology of China (USTC) in 2019.

profile photo

xinyut [at] princeton [dot] edu

Research

(* indicates equal contribution)

Private Auditing of Large Language Models

Ashwinee Panda*, Xinyu Tang*, Christopher A. Choquette-Choo, Milad Nasr, Prateek Mittal

ICLR 2025

Also presented at ICML 2024 NextGenAISafety (Oral)

Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Xinyu Tang*, Ashwinee Panda*, Milad Nasr, Saeed Mahloujifar, Prateek Mittal

TMLR 2025

Also presented at TPDP 2024 (Oral)

Video

A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization

Ashwinee Panda*, Xinyu Tang*, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal

ICML 2024

Code / Video

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim

ICLR 2024

Code

Differentially Private Image Classification by Learning Priors from Random Processes

Xinyu Tang*, Ashwinee Panda*, Vikash Sehwag, Prateek Mittal

NeurIPS 2023 (Spotlight)

Code / Twitter

Effectively Using Public Data in Privacy Preserving Machine Learning

Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr

ICML 2023

Video

Machine Learning with Differentially Private Labels: Mechanisms and Frameworks,

Xinyu Tang, Milad Nasr, Saeed Mahloujifar, Virat Shejwalkar, Liwei Song, Amir Houmansadr, Prateek Mittal

PETS 2022

Code / Video

Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture

Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal

USENIX Security 2022

Code / Video

Services

Reviewer for JMLR, ICML, NeurIPS, ICLR, AISTATS, AAAI, TPDP


Thank Dr. Jon Barron for sharing the source code of his personal page.