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2205.10683
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Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
21 May 2022
Zhiqi Bu
J. Mao
Shiyun Xu
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Papers citing
"Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy"
7 / 7 papers shown
Title
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
121
268
0
25 Sep 2021
Visformer: The Vision-friendly Transformer
Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
ViT
94
171
0
26 Apr 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu
Huishuai Zhang
Wei Chen
Tie-Yan Liu
FedML
SILM
75
93
0
25 Feb 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
110
155
0
28 Jul 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
932
18,450
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
250
6,278
0
16 Nov 2016
Efficient Per-Example Gradient Computations
Ian Goodfellow
124
63
0
07 Oct 2015
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