Dates: 2022 - ongoing
Contact: sainzpardo ifca.unican.es
Areas: computing
Tags: privacy
Links:
The goal is to perform a comprehensive study of data anonymization techniques. We present the implementation of the Python library pyCANON, which can be used to check the level of anonymity of a dataset by means of the most common privacy-preserving techniques (see the related paper). In addition, we are working in the analysis of the impact of anonymization in the performance of different machine learning models (see the following preprint). We are also working in the implementation of different techniques to achieve the level of anonymity required by the users by means of a Python library.