SenRev: Measurement of Personal Information Disclosure in Online Health …
In this paper, we propose SenRev to systematically measure the leakages of sensitive information in those publicly available discussions. We use SenRev to analyze 1,894,900 multi-modal and multi …
In contrast to prior findings in the health context, adding an implications statement to LDP and other PET descriptions (FL, FL+LDP, and GT) only marginally improved understanding in our study, but also did …
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.
Estimating Group Means Under Local Differential Privacy
In this paper, we consider a common problem when analyzing health data: estimating means for different groups. We discuss a generic privacy-preserving method for approximating the means of …
Privacy Enhancing Technologies Symposium 2025
Locally Differentially Private Group Comparison in Decentralized Health Data René Raab (Friedrich-Alexander-Universität Erlangen-Nürnberg), Arijana Bohr (Friedrich-Alexander-Universität Erlangen …
PoPETs Proceedings — User-Centric Textual Descriptions of Privacy ...
Existing research has explored the explanation of differential privacy in health contexts. Our study adapts well-performing textual descriptions of local differential privacy from prior work to a new …
PoPETs Proceedings — "Revoked just now!" Users' Behaviors Toward ...
Although these devices enable their users to monitor their activities and health, they also raise new security and privacy concerns, given the sensitive data (e.g., steps, heart rate) they collect and the …
PoPETs Proceedings — “Because... I was told... so much”: Linguistic ...
Abstract: Recent studies have shown that machine learning can identify individuals with mental illnesses by analyzing their social media posts. Topics and words related to mental health are some of the top …
PoPETs Proceedings — Personal information inference from voice ...
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 …
Investigating People’s Privacy Risk Perception
Keywords: privacy risk perception, Online Social Networks, smart home devices, smart health devices Copyright in PoPETs articles are held by their authors. This article is published under a license.