AI RESEARCH
Class-Aware Adaptive Differential Privacy in Deep Learning for Sensor-Based Fall Detection
arXiv CS.LG
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ArXi:2605.01679v1 Announce Type: cross Fall detection is a critical task in healthcare, particularly for elderly people. Timely fall detection and treatment can prevent severe injuries. Sensor-based activity data can be used to detect fall. However, this data are highly sensitive and raises significant privacy concerns. Existing privacy approaches apply uniform noise across all