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Communication Dans Un Congrès Année : 2023

Explanation-based Tool for Helping Data Producers to Reduce Privacy Risks

Résumé

This paper demonstrates the interactive user interface P rivEx that helps data producers to reduce privacy risks raised by data collection from service providers in the Semantic Web of Things. P rivEx provides several types of support to data producers in their management of the tension between the privacy risks and the utility of the data they accept to publish. P rivEx is grounded on the formal framework presented in [1] for detecting automatically privacy risks raised by utility queries. In the demonstration, we will illustrate the functionalities of P rivEx, on a smart meter scenario inspired by a real-world use case providing time series of electrical consumptions of different customers associated with some metadata on their demographics, home sizes and equipment.
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Dates et versions

hal-04215771 , version 1 (22-09-2023)

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  • HAL Id : hal-04215771 , version 1

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Hira Asghar, Christophe Bobineau, Marie-Christine Rousset. Explanation-based Tool for Helping Data Producers to Reduce Privacy Risks. Extended Semantic Web Conference, Jamie McCusker; Ernesto Jimenez-Ruiz, May 2023, Heraklion, Greece. ⟨hal-04215771⟩
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