Privacy by design in big data: an overview of privacy enhancing technologies in the era of big data analytics
G D'Acquisto, J Domingo-Ferrer, P Kikiras… - arXiv preprint arXiv …, 2015 - arxiv.org
The extensive collection and processing of personal information in big data analytics has
given rise to serious privacy concerns, related to wide scale electronic surveillance, profiling …
given rise to serious privacy concerns, related to wide scale electronic surveillance, profiling …
New directions in anonymization: permutation paradigm, verifiability by subjects and intruders, transparency to users
J Domingo-Ferrer, K Muralidhar - Information Sciences, 2016 - Elsevier
There are currently two approaches to anonymization:“utility first”(use an anonymization
method with suitable utility features, then empirically evaluate the disclosure risk and, if …
method with suitable utility features, then empirically evaluate the disclosure risk and, if …
Comment on “Unique in the shopping mall: On the reidentifiability of credit card metadata”
De Montjoye et al.(Reports, 30 January 2015, p. 536) claimed that most individuals can be
reidentified from a deidentified transaction database and that anonymization mechanisms …
reidentified from a deidentified transaction database and that anonymization mechanisms …
On the compatibility of big data driven research and informed consent: the example of the human brain project
Big Data research is usually explorative, meaning that not all possible hypotheses are
known that one may wish to test when data is made available. For the case of biomedical …
known that one may wish to test when data is made available. For the case of biomedical …
Co-utile collaborative anonymization of microdata
J Soria-Comas, J Domingo-Ferrer - Modeling Decisions for Artificial …, 2015 - Springer
In surveys collecting individual data (microdata), each respondent is usually required to
report values for a set of attributes. If some of these attributes contain sensitive information …
report values for a set of attributes. If some of these attributes contain sensitive information …
Dynamic social privacy protection based on graph mode partition in complex social network
G Qiuyang, N Qilian, M Xiangzhao, Y Zhijiao - Personal and Ubiquitous …, 2019 - Springer
Differential privacy protection model provides strict and quantitative risk representation for
privacy disclosure, which greatly ensures the availability of data. However, most existing …
privacy disclosure, which greatly ensures the availability of data. However, most existing …
IHP: improving the utility in differential private histogram publication
Differential privacy (DP) is a promising tool for preserving privacy during data publication, as
it provides strong theoretical privacy guarantees in face of adversaries with arbitrary …
it provides strong theoretical privacy guarantees in face of adversaries with arbitrary …
Different strategies for differentially private histogram publication
Differential privacy is a strong notion for protecting individual privacy in data analysis or
publication, with strong privacy guaranteeing security against adversaries with arbitrary …
publication, with strong privacy guaranteeing security against adversaries with arbitrary …
Improving the utility in differential private histogram publishing: theoretical study and practice
Differential privacy (DP) is a promising tool for preserving privacy during data publication, as
it provides strong theoretical privacy guarantees in face of adversaries with arbitrary …
it provides strong theoretical privacy guarantees in face of adversaries with arbitrary …
More Flexible Differential Privacy: The Application of Piecewise Mixture Distributions in Query Release
There is an increasing demand to make data" open" to third parties, as data sharing has
great benefits in data-driven decision making. However, with a wide variety of sensitive data …
great benefits in data-driven decision making. However, with a wide variety of sensitive data …