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 …
Synthetic Data--what, why and how?
This explainer document aims to provide an overview of the current state of the rapidly
expanding work on synthetic data technologies, with a particular focus on privacy. The …
expanding work on synthetic data technologies, with a particular focus on privacy. The …
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …
point of care applications; however, many challenges such as data privacy concerns impede …
Generation and evaluation of synthetic patient data
Background Machine learning (ML) has made a significant impact in medicine and cancer
research; however, its impact in these areas has been undeniably slower and more limited …
research; however, its impact in these areas has been undeniably slower and more limited …
A multifaceted benchmarking of synthetic electronic health record generation models
Synthetic health data have the potential to mitigate privacy concerns in supporting
biomedical research and healthcare applications. Modern approaches for data generation …
biomedical research and healthcare applications. Modern approaches for data generation …
A multi-dimensional evaluation of synthetic data generators
Synthetic datasets are gradually emerging as solutions for data sharing. Multiple synthetic
data generators have been introduced in the last decade fueled by advancement in machine …
data generators have been introduced in the last decade fueled by advancement in machine …
Fake it till you make it: Guidelines for effective synthetic data generation
Synthetic data provides a privacy protecting mechanism for the broad usage and sharing of
healthcare data for secondary purposes. It is considered a safe approach for the sharing of …
healthcare data for secondary purposes. It is considered a safe approach for the sharing of …
General and specific utility measures for synthetic data
Data holders can produce synthetic versions of data sets when concerns about potential
disclosure restrict the availability of the original records. The paper is concerned with …
disclosure restrict the availability of the original records. The paper is concerned with …
Linking sensitive data
Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …
increasing demand to share, integrate, and link such data within and across organisations in …
[图书][B] Synthetic datasets for statistical disclosure control: theory and implementation
J Drechsler - 2011 - books.google.com
The aim of this book is to give the reader a detailed introduction to the different approaches
to generating multiply imputed synthetic datasets. It describes all approaches that have been …
to generating multiply imputed synthetic datasets. It describes all approaches that have been …