Add noise to remove noise: Local differential privacy for feature selection-Reference-Cited by-同舟云学术

Add noise to remove noise: Local differential privacy for feature selection

Published:2022-12 Issue: Volume:123 Page:102934
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Alishahi Mina,Moghtadaiee Vahideh^ORCID,Navidan Hojjat^ORCID

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference52 articles.

1. Apple machine learning research, 2017https://machinelearning.apple.com/research/learning-with-privacy-at-scale.

2. Communication efficient, sample optimal, linear time locally private discrete distribution estimation;Acharya;CoRR,2018

3. Data Classification: Algorithms and Applications;Aggarwal,2014

4. Differentially private feature selection for data mining;Anandan,2018

5. Privacy preserving feature selection for distributed data using virtual dimension;Banerjee,2011

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