A Survey Of differential privacy-based techniques and their applicability to location-Based services

Author:

Kim Jong WookORCID,Edemacu KennedyORCID,Kim Jong Seon,Chung Yon Dohn,Jang BeakcheolORCID

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference200 articles.

1. Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication;Acharya,2019

2. A Utility-preserving and Scalable Technique for Protecting Location Data with Geo-indistinguishability;Ahuja,2019

3. Privacy preserving processing of genomic data: asurvey;Akgun;J Biomed Inform,2015

4. Geo-indistinguishability: Differential Privacy for Location-based Systems;Andres,2013

5. Apple differential privacy team. 2018. Learning with Privacy at Scale. https://docs-assets.developer.apple.com/ml-research/papers/learning-with-privacy-at-scale.pdf.

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