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Generating Artificial Data for Private Deep Learning
v1v2v3 (latest)

Generating Artificial Data for Private Deep Learning

8 March 2018
Aleksei Triastcyn
Boi Faltings
ArXiv (abs)PDFHTML

Papers citing "Generating Artificial Data for Private Deep Learning"

18 / 18 papers shown
Preserving Privacy in GANs Against Membership Inference Attack
Preserving Privacy in GANs Against Membership Inference AttackIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Mohammadhadi Shateri
Francisco Messina
Fabrice Labeau
Pablo Piantanida
201
6
0
06 Nov 2023
A Unified View of Differentially Private Deep Generative Modeling
A Unified View of Differentially Private Deep Generative Modeling
Dingfan Chen
Raouf Kerkouche
Mario Fritz
SyDa
282
6
0
27 Sep 2023
Synthetic Dataset Generation for Privacy-Preserving Machine Learning
Synthetic Dataset Generation for Privacy-Preserving Machine Learning
Efstathia Soufleri
Gobinda Saha
Kaushik Roy
DD
375
3
0
06 Oct 2022
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
268
31
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
182
138
0
10 Aug 2021
Generative Models for Security: Attacks, Defenses, and Opportunities
Generative Models for Security: Attacks, Defenses, and Opportunities
L. A. Bauer
Vincent Bindschaedler
225
5
0
21 Jul 2021
Ensembles of GANs for synthetic training data generation
Ensembles of GANs for synthetic training data generation
Gabriel Eilertsen
Apostolia Tsirikoglou
Claes Lundström
Jonas Unger
MedIm
172
17
0
23 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
371
589
0
14 Mar 2021
Preserving Privacy in Personalized Models for Distributed Mobile
  Services
Preserving Privacy in Personalized Models for Distributed Mobile ServicesIEEE International Conference on Distributed Computing Systems (ICDCS), 2021
Akanksha Atrey
Prashant J. Shenoy
David D. Jensen
154
3
0
14 Jan 2021
When Machine Learning Meets Privacy: A Survey and Outlook
When Machine Learning Meets Privacy: A Survey and OutlookACM Computing Surveys (ACM CSUR), 2020
B. Liu
Ming Ding
Sina shaham
W. Rahayu
F. Farokhi
Zihuai Lin
273
322
0
24 Nov 2020
Representation Learning for High-Dimensional Data Collection under Local
  Differential Privacy
Representation Learning for High-Dimensional Data Collection under Local Differential Privacy
Alex Mansbridge
G. Barbour
Davide Piras
Michael Murray
Christopher Frye
Ilya Feige
David Barber
229
1
0
23 Oct 2020
DAMIA: Leveraging Domain Adaptation as a Defense against Membership
  Inference Attacks
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
Hongwei Huang
Weiqi Luo
Guoqiang Zeng
J. Weng
Yue Zhang
Anjia Yang
AAML
163
26
0
16 May 2020
Differentially Private Synthetic Mixed-Type Data Generation For
  Unsupervised Learning
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning
U. Tantipongpipat
Chris Waites
Digvijay Boob
Amaresh Ankit Siva
Rachel Cummings
SyDa
308
31
0
06 Dec 2019
Federated Learning with Bayesian Differential Privacy
Federated Learning with Bayesian Differential Privacy
Aleksei Triastcyn
Boi Faltings
FedML
245
196
0
22 Nov 2019
Federated Generative Privacy
Federated Generative PrivacyIEEE Intelligent Systems (IS), 2019
Aleksei Triastcyn
Boi Faltings
FedML
159
68
0
18 Oct 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
337
410
0
25 Sep 2019
Private Model Compression via Knowledge Distillation
Private Model Compression via Knowledge Distillation
Ji Wang
Weidong Bao
Lichao Sun
Xiaomin Zhu
Bokai Cao
Philip S. Yu
FedML
154
129
0
13 Nov 2018
Privacy-preserving Machine Learning through Data Obfuscation
Privacy-preserving Machine Learning through Data Obfuscation
Tianwei Zhang
Zecheng He
R. Lee
230
85
0
05 Jul 2018
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