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
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