Not all noise is accounted equally: How differentially private learning benefits from large sampling rates

International Workshop on Machine Learning for Signal Processing (MLSP), 2021

12 October 2021

Friedrich Dörmann

Osvald Frisk

L. Andersen

Christian Fischer Pedersen

FedML

ArXiv (abs)PDF HTML

Papers citing "Not all noise is accounted equally: How differentially private learning benefits from large sampling rates"

18 / 18 papers shown

Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)

Wenxuan Bao

Vincent Bindschaedler

AAML

241

21 Aug 2025

Forward Learning with Differential Privacy

287

01 Apr 2025

The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification

Ahmad Hassanpour

Amir Zarei

Khawla Mallat

Anderson Santana de Oliveira

Bian Yang

295

16 Dec 2024

R+R:Understanding Hyperparameter Effects in DP-SGDAsia-Pacific Computer Systems Architecture Conference (ACSA), 2024

Felix Morsbach

J. Reubold

T. Strufe

241

04 Nov 2024

Masked Differential Privacy

236

22 Oct 2024

Nearly Tight Black-Box Auditing of Differentially Private Machine LearningNeural Information Processing Systems (NeurIPS), 2024

Meenatchi Sundaram Muthu Selva Annamalai

Emiliano De Cristofaro

302

23 May 2024

Sparsity-Preserving Differentially Private Training of Large Embedding ModelsNeural Information Processing Systems (NeurIPS), 2023

255

14 Nov 2023

Unlocking Accuracy and Fairness in Differentially Private Image Classification

215

21 Aug 2023

Differentially Private Video Activity RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

De-An Huang

264

27 Jun 2023

Differentially Private Image Classification by Learning Priors from Random ProcessesNeural Information Processing Systems (NeurIPS), 2023

287

08 Jun 2023

Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models

Florian A. Hölzl

Daniel Rueckert

Georgios Kaissis

329

30 Jan 2023

Differentially Private Image Classification from Features

241

24 Nov 2022

Differentially Private Diffusion Models

487

132

18 Oct 2022

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning

Reza Nasirigerdeh

Javad Torkzadehmahani

Daniel Rueckert

Georgios Kaissis

218

30 Sep 2022

SmoothNets: Optimizing CNN architecture design for differentially private deep learning

Nicolas W. Remerscheid

Alexander Ziller

Daniel Rueckert

Georgios Kaissis

142

09 May 2022

Large Scale Transfer Learning for Differentially Private Image Classification

236

06 May 2022

Unlocking High-Accuracy Differentially Private Image Classification through Scale

408

268

28 Apr 2022

Differentially private training of residual networks with scale normalisation

Georgios Kaissis

303

01 Mar 2022