Work

Adversarial Perturbation for Sensor Data Anonymization: Balancing Privacy and Utility

Year: 2025

Type: article

Abstract: Recent advances in wearable devices have enabled large-scale collection of sensor data across healthcare, sports, and other domains but this has also raised critical privacy concerns, especially under tightening regulations s... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.066270

Authors: Tatsuhito Hasegawa, Kyosuke Fujino

Institution: University of Fukui

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Japan Society for the Promotion of Science

Award: 行動認識AIの民主化に向けた基盤モデルの実現