[HTML][HTML] k-Anonymity in practice: How generalisation and suppression affect machine learning classifiers
The protection of private information is a crucial issue in data-driven research and business
contexts. Typically, techniques like anonymisation or (selective) deletion are introduced in …
contexts. Typically, techniques like anonymisation or (selective) deletion are introduced in …
Putting statistical disclosure control into practice: The ARX data anonymization tool
F Prasser, F Kohlmayer - Medical data privacy handbook, 2015 - Springer
The sharing of sensitive personal data has become a core element of biomedical research.
To protect privacy, a broad spectrum of techniques must be implemented, including data …
To protect privacy, a broad spectrum of techniques must be implemented, including data …
[HTML][HTML] Arx-a comprehensive tool for anonymizing biomedical data
F Prasser, F Kohlmayer, R Lautenschläger… - AMIA Annual …, 2014 - ncbi.nlm.nih.gov
Collaboration and data sharing have become core elements of biomedical research.
Especially when sensitive data from distributed sources are linked, privacy threats have to …
Especially when sensitive data from distributed sources are linked, privacy threats have to …
LPL, towards a GDPR-compliant privacy language: formal definition and usage
Abstract The upcoming General Data Protection Regulation (GDPR) imposes several new
legal requirements for privacy management in information systems. In this paper, we …
legal requirements for privacy management in information systems. In this paper, we …
[HTML][HTML] The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss
F Kohlmayer, F Prasser, KA Kuhn - Journal of biomedical informatics, 2015 - Elsevier
Objective With the ARX data anonymization tool structured biomedical data can be de-
identified using syntactic privacy models, such as k-anonymity. Data is transformed with two …
identified using syntactic privacy models, such as k-anonymity. Data is transformed with two …
Data anonymization: a novel optimal k-anonymity algorithm for identical generalization hierarchy data in IoT
W Mahanan, WA Chaovalitwongse… - … Oriented Computing and …, 2020 - Springer
Advancement in the Internet of Things (IoT) technologies makes life more convenient for
people. Data sensed from the devices can be used for analyzing and responding to people's …
people. Data sensed from the devices can be used for analyzing and responding to people's …
Privacy-preserving data cube for electronic medical records: An experimental evaluation
Introduction: The aim of this study is to evaluate the effectiveness and efficiency of privacy-
preserving data cubes of electronic medical records (EMRs). An EMR data cube is a …
preserving data cubes of electronic medical records (EMRs). An EMR data cube is a …
[PDF][PDF] Lightning: Utility-Driven Anonymization of High-Dimensional Data.
The ARX Data Anonymization Tool is a software for privacy-preserving microdata
publishing. It implements methods of statistical disclosure control and supports a wide …
publishing. It implements methods of statistical disclosure control and supports a wide …
A scalable and pragmatic method for the safe sharing of high-quality health data
The sharing of sensitive personal health data is an important aspect of biomedical research.
Methods of data de-identification are often used in this process to trade the granularity of …
Methods of data de-identification are often used in this process to trade the granularity of …
Modelling of a privacy language and efficient policy-based de-identification
A Gerl - 2019 - theses.hal.science
The processing of personal information is omnipresent in our datadriven society enabling
personalized services, which are regulated by privacy policies. Although privacy policies are …
personalized services, which are regulated by privacy policies. Although privacy policies are …