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Volume 2022 Issue 1 Editors’ Introduction Florian Kerschbaum (University of Waterloo), Michelle Mazurek (University of Maryland) Personal information inference from voice recordings: User awareness and privacy concerns [PDF]
Published by De Gruyter Open / Sciendo before 2022; self-published since Volume 2025 Volume 2024 Volume 2023 Volume 2022 Volume 2021 Volume 2020 Volume 2019 Volume 2018 Volume 2017 Volume 2016 Volume 2015 Privacy Enha...
We hope that our work will educate the currently ongoing design of vaccination certificates, give us deeper insights into the privacy of health-related data and apps, and prepare us for future potential applications o...
re running the protocol. In the updated protocol, the health authority now uses sk to encrypt the input vector x and sends the re-sulting ciphertext vector c ← Encsk(x) to the MNO.
Clearly, naively linking mobile phone data with health records would violate privacy by either allowing to track mobility patterns of infected individuals, leak information on who is infected, or both.
Abstract: In this paper we describe the iterative evaluation and refinement of a consent flow for a chatbot being developed by a large U.S. health insurance company.
Authors: Dmitrii Usynin (Department of Computing, Imperial College London; Department of Diagnostic and Interventional Radiology, Technical University of Munich), Daniel Rueckert (Institute for Artificial Intelligence...
Authors: Anisa Halimi (IBM Research Europe - Dublin), Leonard Dervishi (Case Western Reserve University), Erman Ayday (Case Western Reserve University), Apostolos Pyrgelis (EPFL), Juan Ramón Troncoso-Pastoriza (Tune I...
Keywords: Privacy risk, Exposure Notification, BLE, COVID-19 DOI 10.56553/popets-2022-0103 Received 2022-02-28; revised 2022-06-15; accepted 2022-06-16.
Abstract: Through voice characteristics and manner of expression, even seemingly benign voice recordings can reveal sensitive attributes about a recorded speaker (e. g., geographical origin, health status, personality).
