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