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 …
A survey on privacy properties for data publishing of relational data
Recent advances in telecommunications and database systems have allowed the scientific
community to efficiently mine vast amounts of information worldwide and to extract new …
community to efficiently mine vast amounts of information worldwide and to extract new …
Safepub: A truthful data anonymization algorithm with strong privacy guarantees
Methods for privacy-preserving data publishing and analysis trade off privacy risks for
individuals against the quality of output data. In this article, we present a data publishing …
individuals against the quality of output data. In this article, we present a data publishing …
Collecting, processing and secondary using personal and (pseudo) anonymized data in smart cities
Smart cities, leveraging IoT technologies, are revolutionizing the quality of life for citizens.
However, the massive data generated in these cities also poses significant privacy risks …
However, the massive data generated in these cities also poses significant privacy risks …
A clustering‐based anonymization approach for privacy‐preserving in the healthcare cloud
A Abbasi, B Mohammadi - Concurrency and Computation …, 2022 - Wiley Online Library
Today, modern healthcare systems rely on advanced computational technologies, including
cloud‐based systems, to gather and examine personal health data on a large scale. The use …
cloud‐based systems, to gather and examine personal health data on a large scale. The use …
Game theory based correlated privacy preserving analysis in big data
Privacy preservation is one of the greatest concerns in big data. As one of extensive
applications in big data, privacy preserving data publication (PPDP) has been an important …
applications in big data, privacy preserving data publication (PPDP) has been an important …
PRUDEnce: a system for assessing privacy risk vs utility in data sharing ecosystems
Data describing human activities are an important source of knowledge useful for
understanding individual and collective behavior and for developing a wide range of user …
understanding individual and collective behavior and for developing a wide range of user …
A systematic overview on methods to protect sensitive data provided for various analyses
In view of the various methodological developments regarding the protection of sensitive
data, especially with respect to privacy-preserving computation and federated learning, a …
data, especially with respect to privacy-preserving computation and federated learning, a …
[HTML][HTML] Privacy-enhancing ETL-processes for biomedical data
Background Modern data-driven approaches to medical research require patient-level
information at comprehensive depth and breadth. To create the required big datasets …
information at comprehensive depth and breadth. To create the required big datasets …
[HTML][HTML] Report of the Medical Image De-Identification (MIDI) Task Group-Best Practices and Recommendations
1.4 Support This project has been funded in whole or in part with Federal funds from the
National Cancer Institute, National Institutes of Health, under Contract No …
National Cancer Institute, National Institutes of Health, under Contract No …