Fine-Tuning Large Language Models with User-Level Differential Privacy

Fine-Tuning Large Language Models with User-Level Differential Privacy

10 July 2024

Zachary Charles

Nicole Mitchell

Krishna Pillutla

ArXiv (abs)PDF HTML

Papers citing "Fine-Tuning Large Language Models with User-Level Differential Privacy"

13 / 13 papers shown

Title
Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Private Ruihan Wu Erchi Wang Zhiyuan Zhang Yu-Xiang Wang SILM 228 0 0 10 Nov 2025
Secret-Protected Evolution for Differentially Private Synthetic Text Generation Tianze Wang Zhaoyu Chen Jian Du Yingtai Xiao Linjun Zhang Qiang Yan SyDa 137 0 0 13 Oct 2025
Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks? Rishika Bhagwatkar Kevin Kasa Abhay Puri Gabriel Huang Irina Rish Graham W. Taylor Krishnamurthy Dvijotham Alexandre Lacoste 119 0 0 06 Oct 2025
FedMentor: Domain-Aware Differential Privacy for Heterogeneous Federated LLMs in Mental Health Nobin Sarwar Shubhashis Roy Dipta AI4MH 270 0 0 16 Sep 2025
Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning Bihao Zhan Jie Zhou Junsong Li Y. Yang Shilian Chen ... Wen Wu X. Wu Qin Chen Hang Yan Liang He CLL 141 0 0 16 Sep 2025
Auditable Early Stopping for Agentic Routing: Ledger-Verified Run-Wise Certificates under Local DP Shivam Akhauri 156 0 0 09 Sep 2025
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization Zhibo Xu Jianhao Zhu Jingwen Xu Changze Lv Zisu Huang Xiaohua Wang Muling Wu Qi Qian Xiaoqing Zheng Xuanjing Huang FedML 186 0 0 26 Aug 2025
Black-Box Privacy Attacks on Shared Representations in Multitask Learning John Abascal Nicolás Berrios Alina Oprea Jonathan R. Ullman Adam D. Smith Matthew Jagielski MLAU 224 0 0 19 Jun 2025
POPri: Private Federated Learning using Preference-Optimized Synthetic Data Charlie Hou Mei-Yu Wang Yige Zhu Daniel Lazar Giulia Fanti FedML 496 7 0 23 Apr 2025
Empirical Privacy Variance Yuzheng Hu Fan Wu Ruicheng Xian Yuhang Liu Lydia Zakynthinou Pritish Kamath Chiyuan Zhang David A. Forsyth 485 1 0 16 Mar 2025
Preserving Expert-Level Privacy in Offline Reinforcement Learning Navodita Sharma Vishnu Vinod Abhradeep Thakurta Alekh Agarwal Borja Balle Christoph Dann A. Raghuveer OffRL 245 0 0 18 Nov 2024
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 380 9 0 16 Aug 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods Yuji Cao Huan Zhao Yuheng Cheng Ting Shu Guolong Liu Gaoqi Liang Junhua Zhao Yun Li LLMAG KELM OffRL LM&Ro 356 146 0 30 Mar 2024