An Ad Omnia Approach to Defining and Achieving Private Data Analysis

2008 ◽  
pp. 1-13 ◽  
Author(s):  
Cynthia Dwork
Keyword(s):  
Data Analysis ◽  
Private Data

scholarly journals The Role of Robust Statistics in Private Data Analysis

CHANCE ◽  
2020 ◽  
Vol 33 (4) ◽  
pp. 37-42
Author(s):  
Marco Avella-Medina
Keyword(s):  
Data Analysis ◽  
Robust Statistics ◽  
Private Data

scholarly journals Calibrating data to sensitivity in private data analysis

2014 ◽  
Vol 7 (8) ◽  
pp. 637-648 ◽  
Author(s):  
Davide Proserpio ◽  
Sharon Goldberg ◽  
Frank McSherry
Keyword(s):  
Data Analysis ◽  
Private Data

scholarly journals Data mining as a tool in privacy-preserving data publishing

2010 ◽  
Vol 45 (1) ◽  
pp. 151-159 ◽  
Author(s):  
Michal Sramka
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Analysis ◽  
Privacy Preserving ◽  
Data Publishing ◽  
Sensitive Information ◽  
Private Data ◽  
Privacy Preserving Data Publishing

ABSTRACTMany databases contain data about individuals that are valuable for research, marketing, and decision making. Sharing or publishing data about individuals is however prone to privacy attacks, breaches, and disclosures. The concern here is about individuals’ privacy-keeping the sensitive information about individuals private to them. Data mining in this setting has been shown to be a powerful tool to breach privacy and make disclosures. In contrast, data mining can be also used in practice to aid data owners in their decision on how to share and publish their databases. We present and discuss the role and uses of data mining in these scenarios and also briefly discuss other approaches to private data analysis.

Hardware-assisted credential management scheme for preventing private data analysis from cloning attacks

2016 ◽  
Vol 75 (22) ◽  
pp. 14833-14848 ◽  
Author(s):  
Jongwon Choi ◽  
Geonbae Na ◽  
Jeong Hyun Yi
Keyword(s):  
Data Analysis ◽  
Management Scheme ◽  
Private Data

Distributed Private Data Analysis

2017 ◽  
Vol 13 (4) ◽  
pp. 1-38
Author(s):  
Elaine Shi ◽  
T.-H. Hubert Chan ◽  
Eleanor Rieffel ◽  
Dawn Song
Keyword(s):  
Data Analysis ◽  
Private Data

Differentially Private Data Analysis

2017 ◽  
pp. 49-65
Author(s):  
Tianqing Zhu ◽  
Gang Li ◽  
Wanlei Zhou ◽  
Philip S. Yu
Keyword(s):  
Data Analysis ◽  
Private Data
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