Day to day interactions with wearable and pervasive systems lead to collected data that capture various aspects of human behavior and enable machine learning algorithms to extract extensive information about users. We discuss privacy risk awareness, and ways to preserve privacy and integrate it in current frameworks.
Bibliographical noteFunding Information:
This work was supported by the European Union Horizon 2020 MSCA ITN ACROSSING Project (GA 676157).
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