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PRIVEE: Privacy-Preserving Extensions of Epidemiological Apps with Sensitive Sensory Data

Projektnummer

0067394

Zusammenfassung

This project aims to extend contact-tracing with privacy-preserving functionality that utilize a richer set of sensory information (Wi-Fi, ambient noise, and ultrasound) together with a jointly trained classifier (via federated learning) to reduce the number of false positives and to develop privacy preserving regularly estimated statistics about crowd sizes that inform epidemiologists (e.g., in regulatory bodies) about the effectiveness of current restrictions or recent relaxation of restrictions.

Projektinformationen

Status:

Beendet

Startdatum:

01.08.2021

Enddatum:

31.01.2023

Fördersumme:

119.900 €

Profilbereich:

Beendete Förderinitiativen

Förderinitiative:

Corona Crisis and Beyond - Perspectives for Science, Scholarship and Society