User-Level Differential Privacy With Few Examples Per User

User-Level Differential Privacy With Few Examples Per User

21 September 2023

Pasin Manurangsi

Papers citing "User-Level Differential Privacy With Few Examples Per User"

11 / 11 papers shown

Title
Towards User-level Private Reinforcement Learning with Human Feedback Jun Zhang Mingxi Lei Meng Ding Mengdi Li Zihang Xiang Difei Xu Jinhui Xu Di Wang 47 0 0 22 Feb 2025
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness Hojat Allah Salehi Md Jueal Mia S. Sandeep Pradhan M. Hadi Amini Farhad Shirani FedML 38 0 0 20 Sep 2024
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications Jessica Smith David Williams Emily Brown 31 0 0 16 Sep 2024
Calibrating Noise for Group Privacy in Subsampled Mechanisms Yangfan Jiang Xinjian Luo Yin Yang Xiaokui Xiao 36 2 0 19 Aug 2024
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy Bo Li Wei Wang Peng Ye FedML 39 0 0 30 Jul 2024
Fine-Tuning Large Language Models with User-Level Differential Privacy Zachary Charles Arun Ganesh Ryan McKenna H. B. McMahan Nicole Mitchell Krishna Pillutla Keith Rush 39 11 0 10 Jul 2024
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning Lynn Chua Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Daogao Liu Pasin Manurangsi Amer Sinha Chiyuan Zhang 32 11 0 20 Jun 2024
Learning with User-Level Local Differential Privacy Puning Zhao Li Shen Rongfei Fan Qingming Li Huiwen Wu Xiaogang Xu Zhe Liu 34 2 0 27 May 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy Puning Zhao Lifeng Lai Li Shen Qingming Li Xiaogang Xu Zhe Liu 55 7 0 22 May 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates Hilal Asi Daogao Liu 32 8 0 07 Nov 2023
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 69 148 0 01 May 2018