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Locally Differentially Private Naive Bayes Classification

Locally Differentially Private Naive Bayes Classification

3 May 2019
Emre Yilmaz
Mohammad Al-Rubaie
Jerome Chang
ArXiv (abs)PDFHTML

Papers citing "Locally Differentially Private Naive Bayes Classification"

8 / 8 papers shown
A Survey on Differential Privacy with Machine Learning and Future
  Outlook
A Survey on Differential Privacy with Machine Learning and Future Outlook
Samah Baraheem
Z. Yao
SyDa
190
2
0
19 Nov 2022
Locally Differentially Private Distributed Deep Learning via Knowledge
  Distillation
Locally Differentially Private Distributed Deep Learning via Knowledge Distillation
Di Zhuang
Mingchen Li
Jerome Chang
FedML
227
3
0
07 Feb 2022
An Uncertainty-Aware Deep Learning Framework for Defect Detection in
  Casting Products
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting ProductsSocial Science Research Network (SSRN), 2021
Maryam Habibpour
Hassan Gharoun
AmirReza Tajally
Afshar Shamsi Jokandan
Hamzeh Asgharnezhad
Abbas Khosravi
S. Nahavandi
UQCV
272
20
0
24 Jul 2021
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
378
112
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
315
194
0
09 Aug 2020
Differentially Private Naive Bayes Classifier using Smooth Sensitivity
Differentially Private Naive Bayes Classifier using Smooth SensitivityProceedings on Privacy Enhancing Technologies (PoPETs), 2020
Farzad Zafarani
Chris Clifton
226
11
0
31 Mar 2020
Privacy-Preserving Boosting in the Local Setting
Privacy-Preserving Boosting in the Local SettingIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Sen Wang
J.Morris Chang
FedML
216
6
0
06 Feb 2020
Protecting from Malware Obfuscation Attacks through Adversarial Risk
  Analysis
Protecting from Malware Obfuscation Attacks through Adversarial Risk AnalysisRisk Analysis (Risk Anal.), 2019
A. Redondo
D. Insua
AAML
99
3
0
09 Nov 2019
1
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