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Generating Artificial Data for Private Deep Learning

Generating Artificial Data for Private Deep Learning

8 March 2018
Aleksei Triastcyn
Boi Faltings
ArXivPDFHTML

Papers citing "Generating Artificial Data for Private Deep Learning"

6 / 6 papers shown
Title
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
88
27
0
06 Oct 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Runhua Xu
Nathalie Baracaldo
J. Joshi
32
100
0
10 Aug 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
35
412
0
14 Mar 2021
Federated Learning with Bayesian Differential Privacy
Federated Learning with Bayesian Differential Privacy
Aleksei Triastcyn
Boi Faltings
FedML
13
172
0
22 Nov 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
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