
Measuring Conditional Anonymity - A Global Study
From tracking daily eating habits and vital functions to monitoring sleep patterns and even the menstrual cycle, these apps have become ubiquitous in their pursuit of comprehensive health insights.
The global landscape of digital health is undergoing an unprece-dented surge, fueled by legislative changes facilitating broader ac-cess to health data for research and the exponential growth of …
PrivacyLens: On-Device PII Removal from RGB Images using Thermally ...
Abstract: Internet-connected cameras support many useful home monitoring and health applications. However, these same cameras indiscriminately capture sensitive and Personally Identifiable …
PoPETs Proceedings — Volume 2024
Issue 2 Editors' Introduction Micah Sherr (Georgetown University), Zubair Shafiq (University of California, Davis) Multipars: Reduced-Communication MPC over Z2k [PDF] [Artifact: Reproduced] …
While a few participants expressed privacy concerns about their health information (see Section 4.1), about half of our participants shared that they trusted service providers (e.g., hospitals and smart …
It then turns ofwhen the motor does not generate vibration. This execution model makes this intermittent device suitable for monitoring the motor’s health during the motor’s operation. While intermittent …
PoPETs Proceedings — Anonify: Decentralized Dual-level Anonymity …
Abstract: Medical data donation involves voluntarily sharing medical data with research institutions, which is crucial for advancing healthcare research. However, the sensitive nature of medical data …
life-quality-improving applications such as health status moni-toring [3, 37, 40], energy-eficient smart home [27, 102, 134], and friendly human-computer interaction [80, 142] via understanding the …
The primary concern of using this HapMap dataset and genomic dataset in general is that the experiments may reveal information about individuals’ health risks, ancestry, or other sensitive traits, …
The set of data donors may include both those currently experiencing health issues and those in good health. This difers from traditional medical data collection scenarios, where data is usually collected …