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Not one but many Tradeoffs: Privacy Vs. Utility in Differentially
  Private Machine Learning

Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning

20 August 2020
Benjamin Zi Hao Zhao
M. Kâafar
N. Kourtellis
ArXivPDFHTML

Papers citing "Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning"

5 / 5 papers shown
Title
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
58
1
0
19 Apr 2024
An Optimized Privacy-Utility Trade-off Framework for Differentially
  Private Data Sharing in Blockchain-based Internet of Things
An Optimized Privacy-Utility Trade-off Framework for Differentially Private Data Sharing in Blockchain-based Internet of Things
Muhammad Islam
M. H. Rehmani
Jinjun Chen
27
2
0
30 Nov 2022
Evaluation Gaps in Machine Learning Practice
Evaluation Gaps in Machine Learning Practice
Ben Hutchinson
Negar Rostamzadeh
Christina Greer
Katherine A. Heller
Vinodkumar Prabhakaran
ELM
41
56
0
11 May 2022
Investigating Trade-offs in Utility, Fairness and Differential Privacy
  in Neural Networks
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks
Marlotte Pannekoek
G. Spigler
FedML
32
26
0
11 Feb 2021
FLaaS: Federated Learning as a Service
FLaaS: Federated Learning as a Service
N. Kourtellis
Kleomenis Katevas
Diego Perino
FedML
24
60
0
18 Nov 2020
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