16 citations · 18 across the 7 of their papers we have counts for
4 papers · 1 filter
Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure
Florens Rohde, Victor Christen, Martin Franke +1
Privacy-Preserving Record linkage (PPRL) is an essential component in data integration tasks of sensitive information. The linkage quality determines the usability of combined data…
Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning
Lucas Lange, Maurice-Maximilian Heykeroth, Erhard Rahm
Machine Learning (ML) is crucial in many sectors, including computer vision. However, ML models trained on sensitive data face security challenges, as they can be attacked and leak…
Graph-based Active Learning for Entity Cluster Repair
Victor Christen, Daniel Obraczka, Marvin Hofer +2
Cluster repair methods aim to determine errors in clusters and modify them so that each cluster consists of records representing the same entity. Current cluster repair methodologi…
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection
Lucas Lange, Nils Wenzlitschke, Erhard Rahm
Smartwatch health sensor data are increasingly utilized in smart health applications and patient monitoring, including stress detection. However, such medical data often comprise s…