Algorithms for bounding contribution for histogram estimation under user-level privacy

7 June 2022

Papers citing "Algorithms for bounding contribution for histogram estimation under user-level privacy"

6 / 6 papers shown

Title
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 44 11 0 10 Jul 2024
Releasing Large-Scale Human Mobility Histograms with Differential Privacy Christopher Bian Albert Cheu Yannis Guzman Marco Gruteser Peter Kairouz Ryan McKenna Edo Roth 33 0 0 03 Jul 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 44 8 0 05 Jun 2024
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy Yingtai Xiao Jian Du Shikun Zhang Qiang Yan Danfeng Zhang Daniel Kifer Daniel Kifer 61 2 0 04 Jun 2024
Subset-Based Instance Optimality in Private Estimation Travis Dick Alex Kulesza Ziteng Sun A. Suresh 37 9 0 01 Mar 2023
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 72 149 0 01 May 2018