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Noise-Augmented Privacy-Preserving Empirical Risk Minimization with
  Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling

Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling

16 October 2021
Yinan Li
Fang Liu
ArXiv (abs)PDFHTML

Papers citing "Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling"

3 / 3 papers shown
Title
Empirical Calibration and Metric Differential Privacy in Language Models
Empirical Calibration and Metric Differential Privacy in Language Models
Pedro Faustini
Natasha Fernandes
Annabelle McIver
Mark Dras
93
0
0
18 Mar 2025
Directional Privacy for Deep Learning
Directional Privacy for Deep Learning
Pedro Faustini
Natasha Fernandes
Shakila Mahjabin Tonni
Annabelle McIver
Mark Dras
46
2
0
09 Nov 2022
Some Examples of Privacy-preserving Publication and Sharing of COVID-19
  Pandemic Data
Some Examples of Privacy-preserving Publication and Sharing of COVID-19 Pandemic Data
Fan Liu
Dong Wang
Tian Yan
44
1
0
18 Jun 2021
1