Differentially private nuts & berries - can you still tell the individual ones apart?Abstract
To open up opportunities for innovation and to overcome the complex data protection hurdles that often prevail, entrepreneurs are increasingly relying on data anonymization. We answer, legal and technical questions which arise about the effectiveness of the anonymization procedure and suggest a probabilistic k-anonymizaiton procedure for correctly anonymizing high-dimensional data whilst retaining a high degree of detail.
Type
Publication
Data Anonymization – The key to innovation
This is based on the previous post Can you tell the nuts & berries apart in each group?
The official Link to Manz is:
Georg Heiler
Researcher & data scientist
My research interests include large geo-spatial time and network data analytics.