Volume 2022 Issue 1 Editors’ Introduction Florian Kerschbaum (University of Waterloo), Michelle Mazurek (University of Maryland) Personal information inference from voice recordings: User …

Privately Connecting Mobility to Infectious Diseases via Applied Cryptography Abstract: Recent work has shown that cell phone mo-bility data has the unique potential to create accurate …

Proof-of-Vax: Studying User Preferences and Perception of Covid Vaccination Certificates Authors: Marvin Kowalewski (Ruhr University Bochum), Franziska Herbert (Ruhr University …

Privately Connecting Mobility to Infectious Diseases via Applied Cryptography Authors: Alexandros Bampoulidis (Research Studio Data Science, RSA FG, Vienna, Austria), …

1 Introduction Following ground-breaking advances in the field of ma-chine learning, an increasing number of real-world ap-plications, such as image and speech recognition [17, 19, 26, 48], …

Abstract: Recent work has shown that cell phone mobility data has the unique potential to create accurate models for human mobility and consequently the spread of infected diseases [74]. …

Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning Authors: Dmitrii Usynin (Department of Computing, Imperial College London; …

Issue 1 Editors’ Introduction Florian Kerschbaum (University of Waterloo), Michelle Mazurek (University of Maryland) Personal information inference from voice recordings: User …

1 Introduction As a promising technology aimed at understanding and preventing the spread of infectious diseases such as COVID-19, smartphone-based digital contact-tracing (DCT) …

Investigating GDPR Fines in the Light of Data Flows Authors: Marlene Saemann (Bosch), Daniel Theis (Institute for Internet Security), Tobias Urban (Institute for Internet Security & secunet …