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Local Differential Privacy for Deep Learning
v1v2v3 (latest)

Local Differential Privacy for Deep Learning

IEEE Internet of Things Journal (IEEE IoT Journal), 2019
8 August 2019
Pathum Chamikara Mahawaga Arachchige
P. Bertók
I. Khalil
Dongxi Liu
S. Çamtepe
Mohammed Atiquzzaman
ArXiv (abs)PDFHTML

Papers citing "Local Differential Privacy for Deep Learning"

16 / 66 papers shown
Title
A Differentially Private Multi-Output Deep Generative Networks Approach
  For Activity Diary Synthesis
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis
Godwin Badu-Marfo
Bilal Farooq
Zachary Patterson
77
5
0
29 Dec 2020
Robustness, Privacy, and Generalization of Adversarial Training
Robustness, Privacy, and Generalization of Adversarial Training
Fengxiang He
Shaopeng Fu
Bohan Wang
Dacheng Tao
224
12
0
25 Dec 2020
Advancements of federated learning towards privacy preservation: from
  federated learning to split learning
Advancements of federated learning towards privacy preservation: from federated learning to split learning
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
FedML
160
98
0
25 Nov 2020
A Comprehensive Survey on Local Differential Privacy Toward Data
  Statistics and Analysis
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and AnalysisItalian National Conference on Sensors (INS), 2020
Teng Wang
Xuefeng Zhang
Xuefeng Zhang
Xinyu Yang
229
101
0
11 Oct 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey
Local Differential Privacy and Its Applications: A Comprehensive Survey
Mengmeng Yang
Lingjuan Lyu
Jun Zhao
Tianqing Zhu
Kwok-Yan Lam
195
177
0
09 Aug 2020
Tighter Generalization Bounds for Iterative Differentially Private
  Learning Algorithms
Tighter Generalization Bounds for Iterative Differentially Private Learning AlgorithmsConference on Uncertainty in Artificial Intelligence (UAI), 2020
Fengxiang He
Bohan Wang
Dacheng Tao
FedML
192
20
0
18 Jul 2020
PPaaS: Privacy Preservation as a Service
PPaaS: Privacy Preservation as a Service
Pathum Chamikara Mahawaga Arachchige
P. Bertók
I. Khalil
Dongxi Liu
S. Çamtepe
205
11
0
04 Jul 2020
On the effect of normalization layers on Differentially Private training
  of deep Neural networks
On the effect of normalization layers on Differentially Private training of deep Neural networks
A. Davody
David Ifeoluwa Adelani
Thomas Kleinbauer
Dietrich Klakow
115
9
0
19 Jun 2020
A Distributed Trust Framework for Privacy-Preserving Machine Learning
A Distributed Trust Framework for Privacy-Preserving Machine LearningTrust and Privacy in Digital Business (TPDB), 2020
Will Abramson
A. Hall
Pavlos Papadopoulos
Nikolaos Pitropakis
William J. Buchanan
103
22
0
03 Jun 2020
Privacy Preserving Face Recognition Utilizing Differential Privacy
Privacy Preserving Face Recognition Utilizing Differential Privacy
Pathum Chamikara Mahawaga Arachchige
P. Bertók
I. Khalil
D. Liu
S. Çamtepe
PICV
159
137
0
21 May 2020
SplitFed: When Federated Learning Meets Split Learning
SplitFed: When Federated Learning Meets Split LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
Lichao Sun
FedML
272
725
0
25 Apr 2020
Local Differential Privacy based Federated Learning for Internet of
  Things
Local Differential Privacy based Federated Learning for Internet of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2020
Yang Zhao
Jun Zhao
Mengmeng Yang
Teng Wang
Ning Wang
Lingjuan Lyu
Dusit Niyato
Kwok-Yan Lam
229
364
0
19 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive
  Strategies
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
David Enthoven
Zaid Al-Ars
FedML
141
59
0
01 Apr 2020
Federated Extra-Trees with Privacy Preserving
Federated Extra-Trees with Privacy Preserving
Yang Liu
Mingxi Chen
Wenxi Zhang
Junbo Zhang
Yu Zheng
FedML
179
3
0
18 Feb 2020
Locally Private Distributed Reinforcement Learning
Locally Private Distributed Reinforcement Learning
Hajime Ono
Tsubasa Takahashi
OffRL
138
23
0
31 Jan 2020
Privacy-preserving Q-Learning with Functional Noise in Continuous State
  Spaces
Privacy-preserving Q-Learning with Functional Noise in Continuous State SpacesNeural Information Processing Systems (NeurIPS), 2019
Baoxiang Wang
N. Hegde
203
68
0
30 Jan 2019
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