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Spectral-DP: Differentially Private Deep Learning through Spectral
  Perturbation and Filtering

Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering

25 July 2023
Ce Feng
Nuo Xu
Wujie Wen
Parv Venkitasubramaniam
Caiwen Ding
ArXivPDFHTML

Papers citing "Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering"

11 / 11 papers shown
Title
Private Adaptive Gradient Methods for Convex Optimization
Private Adaptive Gradient Methods for Convex Optimization
Hilal Asi
John C. Duchi
Alireza Fallah
O. Javidbakht
Kunal Talwar
49
53
0
25 Jun 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for
  Private Learning
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu
Huishuai Zhang
Wei Chen
Tie-Yan Liu
FedML
SILM
101
113
0
25 Feb 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
172
179
0
28 Jul 2020
Federated Learning with Differential Privacy: Algorithms and Performance
  Analysis
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Heng Yang
Farokhi Farhad
Shi Jin
Tony Q.S. Quek
H. Vincent Poor
FedML
91
1,589
0
01 Nov 2019
Training behavior of deep neural network in frequency domain
Training behavior of deep neural network in frequency domain
Zhi-Qin John Xu
Yaoyu Zhang
Yan Xiao
AI4CE
40
319
0
03 Jul 2018
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
94
1,408
0
22 Jun 2018
A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
101
642
0
27 Jul 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
435
10,281
0
16 Nov 2016
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
205
4,075
0
18 Oct 2016
Deep Roto-Translation Scattering for Object Classification
Deep Roto-Translation Scattering for Object Classification
Edouard Oyallon
S. Mallat
62
230
0
30 Dec 2014
Learning in a Large Function Space: Privacy-Preserving Mechanisms for
  SVM Learning
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein
Peter L. Bartlett
Ling Huang
N. Taft
83
293
0
30 Nov 2009
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