Adaptive Differentially Private Empirical Risk Minimization

Adaptive Differentially Private Empirical Risk Minimization

14 October 2021

Quanquan Gu

Rebecca Willett

Papers citing "Adaptive Differentially Private Empirical Risk Minimization"

6 / 6 papers shown

Title
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight Tao Huang Qingyu Huang Xin Shi Jiayang Meng Guolong Zheng Xu Yang Xun Yi 26 0 0 05 Nov 2024
Differentially Private Learning with Per-Sample Adaptive Clipping Tianyu Xia Shuheng Shen Su Yao Xinyi Fu Ke Xu Xiaolong Xu Xingbo Fu 30 15 0 01 Dec 2022
Beyond Uniform Lipschitz Condition in Differentially Private Optimization Rudrajit Das Satyen Kale Zheng Xu Tong Zhang Sujay Sanghavi 22 17 0 21 Jun 2022
DP-FP: Differentially Private Forward Propagation for Large Models Jian Du Haitao Mi 17 5 0 29 Dec 2021
Dynamic Differential-Privacy Preserving SGD Jian Du Song Li Xiangyi Chen Siheng Chen Mingyi Hong 6 31 0 30 Oct 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,808 0 14 Dec 2020