
PoPETs Proceedings — Volume 2022 - petsymposium.org
Volume 2022 Issue 1 Editors’ Introduction Florian Kerschbaum (University of Waterloo), Michelle Mazurek (University of Maryland) Personal information inference from voice recordings: User …
Proof-of-Vax: Studying User Preferences and Perception of Covid ...
Abstract: Digital tools play an important role in fighting the current global COVID-19 pandemic. We conducted a representative online study in Germany on a sample of 599 participants to …
Proof-of-Vax: Studying User Preferences and Perception of Covid Vaccination Certificates Abstract: Digital tools play an important role in fight-ing the current global COVID-19 …
Privately Connecting Mobility to Infectious Diseases via Applied ...
Privately Connecting Mobility to Infectious Diseases via Applied Cryptography Authors: Alexandros Bampoulidis (Research Studio Data Science, RSA FG, Vienna, Austria), …
Privately Connecting Mobility to Infectious Diseases via Applied ...
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]. …
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 …
User-friendly yet rarely read: A case study on the redesign of an ...
User-friendly yet rarely read: A case study on the redesign of an online HIPAA authorization Authors: Sarah Pearman (Carnegie Mellon University), Ellie Young (New ...
PoPETs Proceedings — Privacy-Preserving and Efficient …
Abstract: Providing provenance in scientific workflows is essential for reproducibility and auditability purposes. In this work, we propose a framework that verifies the correctness of the …
PoPETs Proceedings — Volume 2022
Issue 1 Editors’ Introduction Florian Kerschbaum (University of Waterloo), Michelle Mazurek (University of Maryland) Personal information inference from voice recordings: User …
Zen and the art of model adaptation: Low-utility-cost attack ...
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; …