Flexible data anonymization using ARX—Current status and challenges ahead
The race for innovation has turned into a race for data. Rapid developments of new
technologies, especially in the field of artificial intelligence, are accompanied by new ways …
technologies, especially in the field of artificial intelligence, are accompanied by new ways …
[HTML][HTML] Data anonymization for pervasive health care: systematic literature mapping study
Background Data science offers an unparalleled opportunity to identify new insights into
many aspects of human life with recent advances in health care. Using data science in …
many aspects of human life with recent advances in health care. Using data science in …
Generation and evaluation of privacy preserving synthetic health data
We develop metrics for measuring the quality of synthetic health data for both education and
research. We use novel and existing metrics to capture a synthetic dataset's resemblance …
research. We use novel and existing metrics to capture a synthetic dataset's resemblance …
A decision-support framework for data anonymization with application to machine learning processes
The application of machine learning techniques to large and distributed data archives might
result in the disclosure of sensitive information about the data subjects. Data often contain …
result in the disclosure of sensitive information about the data subjects. Data often contain …
Data minimization for GDPR compliance in machine learning models
A Goldsteen, G Ezov, R Shmelkin, M Moffie, A Farkash - AI and Ethics, 2022 - Springer
Abstract The EU General Data Protection Regulation (GDPR) and the California Privacy
Rights Act (CPRA) mandate the principle of data minimization, which requires that only data …
Rights Act (CPRA) mandate the principle of data minimization, which requires that only data …
Privacy preserving synthetic health data
We examine the feasibility of using synthetic medical data generated by GANs in the
classroom, to teach data science in health infor-matics. We present an end-to-end …
classroom, to teach data science in health infor-matics. We present an end-to-end …
Videodp: A flexible platform for video analytics with differential privacy
Massive amounts of videos are ubiquitously generated in personal devices and dedicated
video recording facilities. Analyzing such data would be extremely beneficial in real world …
video recording facilities. Analyzing such data would be extremely beneficial in real world …
K-anonymity privacy protection algorithm for multi-dimensional data against skewness and similarity attacks
B Su, J Huang, K Miao, Z Wang, X Zhang, Y Chen - Sensors, 2023 - mdpi.com
Currently, a significant focus has been established on the privacy protection of multi-
dimensional data publishing in various application scenarios, such as scientific research …
dimensional data publishing in various application scenarios, such as scientific research …
Utility-driven assessment of anonymized data via clustering
In this study, clustering is conceived as an auxiliary tool to identify groups of special interest.
This approach was applied to a real dataset concerning an entire Portuguese cohort of …
This approach was applied to a real dataset concerning an entire Portuguese cohort of …
Privacy-preserving prediction of victim's mortality and their need for transportation to health facilities
Emergency medical services (EMS) provide crucial prehospital care, such as in the case of
cardiac arrest, where the victim requires immediate first-aid. For this reason, it is vital to …
cardiac arrest, where the victim requires immediate first-aid. For this reason, it is vital to …