Oct 15, 2020 · In this paper, we propose expert, a new framework for the prediction and explanation of privacy risk on mobility data. We empirically evaluate ...

The aim is to have a predictor that preserves the privacy of risky users while providing the freedom of using data-driven services to users with low privacy ...

In this paper, we propose expert, a new framework for the prediction and explanation of privacy risk on mobility data. We empirically evaluate privacy risk on ...

This paper empirically evaluates privacy risk on real data, simulating a privacy attack with a state-of-the-art privacy risk assessment framework and shows ...

We empirically evaluate privacy risk on real data, simulating a privacy attack with a state-of-the-art privacy risk assessment framework. We then extract ...

Oct 19, 2020 · In this paper, we propose expert, a new framework for the prediction and explanation of privacy risk on mobility data. We empirically evaluate ...

In this paper, we propose expert, a new framework for the prediction and explanation of privacy risk on mobility data. We empirically evaluate privacy risk on ...

Predicting and Explaining Privacy Risk Exposure in Mobility Data. https://doi.org/10.1007/978-3-030-61527-7_27 ·. Journal: Discovery Science Lecture Notes ...

In this paper, we propose an improvement of this approach by applying long short-term memory (LSTM) neural networks to predict the privacy risk directly from ...

In this paper, we propose expert, a new framework for the prediction and explanation of privacy risk on mobility data. We empirically evaluate privacy risk on ...