KIProtect - Blog
GDPR for Data Science
Curious about practical recommendations for privacy-aware data science? Look no further than our four-step guide on doing data science in a GDPR world.
Differential Privacy For Streams
Differential privacy is a concept that has become quite popular in the recent years, especially since Apple announced using it for anonymizing user data. Differential privacy allows us to measure the quality of data anonymization by quantifying how much information a given anonymization method "leaks" about a given individual that is added to a dataset using that method. In this article we'll have a look at how it works using a simple example.