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Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
25 July 2023
Ce Feng
Nuo Xu
Wujie Wen
Parv Venkitasubramaniam
Caiwen Ding
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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
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
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
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
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
Zhi-Qin John Xu
Yaoyu Zhang
Yan Xiao
AI4CE
40
319
0
03 Jul 2018
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
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
101
642
0
27 Jul 2017
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
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
Edouard Oyallon
S. Mallat
62
230
0
30 Dec 2014
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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