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Efficient Hyperparameter Optimization for Differentially Private Deep
  Learning

Efficient Hyperparameter Optimization for Differentially Private Deep Learning

9 August 2021
Aman Priyanshu
Rakshit Naidu
Fatemehsadat Mireshghallah
Mohammad Malekzadeh
ArXivPDFHTML

Papers citing "Efficient Hyperparameter Optimization for Differentially Private Deep Learning"

12 / 12 papers shown
Title
Differentially private federated deep learning for multi-site medical
  image segmentation
Differentially private federated deep learning for multi-site medical image segmentation
Alexander Ziller
Dmitrii Usynin
Nicolas W. Remerscheid
Moritz Knolle
Marcus R. Makowski
R. Braren
Daniel Rueckert
Georgios Kaissis
FedML
22
22
0
06 Jul 2021
Dopamine: Differentially Private Federated Learning on Medical Data
Dopamine: Differentially Private Federated Learning on Medical Data
Mohammad Malekzadeh
Burak Hasircioglu
N. Mital
K. Katarya
M. E. Ozfatura
Deniz Gündüz
OOD
FedML
57
51
0
27 Jan 2021
Stochastic Adaptive Line Search for Differentially Private Optimization
Stochastic Adaptive Line Search for Differentially Private Optimization
Chen Chen
Jaewoo Lee
35
14
0
18 Aug 2020
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
AdaCliP: Adaptive Clipping for Private SGD
AdaCliP: Adaptive Clipping for Private SGD
Venkatadheeraj Pichapati
A. Suresh
Felix X. Yu
Sashank J. Reddi
Sanjiv Kumar
31
123
0
20 Aug 2019
Automatic Discovery of Privacy-Utility Pareto Fronts
Automatic Discovery of Privacy-Utility Pareto Fronts
Brendan Avent
Javier I. González
Tom Diethe
Andrei Paleyes
Borja Balle
FedML
28
28
0
26 May 2019
Differentially Private Learning with Adaptive Clipping
Differentially Private Learning with Adaptive Clipping
Galen Andrew
Om Thakkar
H. B. McMahan
Swaroop Ramaswamy
FedML
52
335
0
09 May 2019
Three Tools for Practical Differential Privacy
Three Tools for Practical Differential Privacy
K. V. D. Veen
Ruben Seggers
Peter Bloem
Giorgio Patrini
33
39
0
07 Dec 2018
Concentrated Differentially Private Gradient Descent with Adaptive
  per-Iteration Privacy Budget
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget
Jaewoo Lee
Daniel Kifer
39
157
0
28 Aug 2018
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
162
6,069
0
01 Jul 2016
Practical recommendations for gradient-based training of deep
  architectures
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
3DH
ODL
138
2,195
0
24 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
280
7,883
0
13 Jun 2012
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