A review of secure and privacy-preserving medical data sharing
In the digital healthcare era, it is of the utmost importance to harness medical information
scattered across healthcare institutions to support in-depth data analysis and achieve …
scattered across healthcare institutions to support in-depth data analysis and achieve …
Privacy-preserving cloud computing on sensitive data: A survey of methods, products and challenges
J Domingo-Ferrer, O Farras, J Ribes-González… - Computer …, 2019 - Elsevier
The increasing volume of personal and sensitive data being harvested by data controllers
makes it increasingly necessary to use the cloud not just to store the data, but also to …
makes it increasingly necessary to use the cloud not just to store the data, but also to …
Individual differential privacy: A utility-preserving formulation of differential privacy guarantees
J Soria-Comas, J Domingo-Ferrer… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Differential privacy is a popular privacy model within the research community because of the
strong privacy guarantee it offers, namely that the presence or absence of any individual in a …
strong privacy guarantee it offers, namely that the presence or absence of any individual in a …
DPPro: Differentially private high-dimensional data release via random projection
Releasing representative data sets without compromising the data privacy has attracted
increasing attention from the database community in recent years. Differential privacy is an …
increasing attention from the database community in recent years. Differential privacy is an …
[图书][B] Database anonymization: privacy models, data utility, and microaggregation-based inter-model connections
The current social and economic context increasingly demands open data to improve
scientific research and decision making. However, when published data refer to individual …
scientific research and decision making. However, when published data refer to individual …
Anonymization of sensitive quasi-identifiers for l-diversity and t-closeness
Y Sei, H Okumura, T Takenouchi… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
A number of studies on privacy-preserving data mining have been proposed. Most of them
assume that they can separate quasi-identifiers (QIDs) from sensitive attributes. For …
assume that they can separate quasi-identifiers (QIDs) from sensitive attributes. For …
Privacy-preserving mechanisms for crowdsensing: Survey and research challenges
IJ Vergara-Laurens, LG Jaimes… - IEEE Internet of Things …, 2016 - ieeexplore.ieee.org
Crowdsensing (CS) is a new data collection paradigm based on the willingness of people to
utilize their mobile devices to sense and transmit data of interest. Given the large amount of …
utilize their mobile devices to sense and transmit data of interest. Given the large amount of …
ADePT: Auto-encoder based differentially private text transformation
Privacy is an important concern when building statistical models on data containing
personal information. Differential privacy offers a strong definition of privacy and can be …
personal information. Differential privacy offers a strong definition of privacy and can be …
Covariance's loss is privacy's gain: Computationally efficient, private and accurate synthetic data
M Boedihardjo, T Strohmer, R Vershynin - Foundations of Computational …, 2024 - Springer
The protection of private information is of vital importance in data-driven research, business
and government. The conflict between privacy and utility has triggered intensive research in …
and government. The conflict between privacy and utility has triggered intensive research in …
Differential privacy for edge weights in social networks
X Li, J Yang, Z Sun, J Zhang - Security and Communication …, 2017 - Wiley Online Library
Social networks can be analyzed to discover important social issues; however, it will cause
privacy disclosure in the process. The edge weights play an important role in social graphs …
privacy disclosure in the process. The edge weights play an important role in social graphs …