DPDR: Gradient Decomposition and Reconstruction for Differentially
Private Deep Learning

DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning

4 June 2024

Yixuan Liu

Yuhan Liu

Papers citing "DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning"

4 / 4 papers shown

Title
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation Chengkun Wei Weixian Li Chen Gong Wenzhi Chen 48 0 0 29 Mar 2025
Students Parrot Their Teachers: Membership Inference on Model Distillation Matthew Jagielski Milad Nasr Christopher A. Choquette-Choo Katherine Lee Nicholas Carlini FedML 34 21 0 06 Mar 2023
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 123 119 0 07 Oct 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Ulfar Erlingsson AAML 128 178 0 28 Jul 2020