May 15, 2024, 4:11 a.m. | Lucas Lange, Nils Wenzlitschke, Erhard Rahm

cs.CR updates on arXiv.org arxiv.org

arXiv:2401.13327v2 Announce Type: replace-cross
Abstract: Smartwatch health sensor data are increasingly utilized in smart health applications and patient monitoring, including stress detection. However, such medical data often comprise sensitive personal information and are resource-intensive to acquire for research purposes. In response to this challenge, we introduce the privacy-aware synthetization of multi-sensor smartwatch health readings related to moments of stress, employing Generative Adversarial Networks (GANs) and Differential Privacy (DP) safeguards. Our method not only protects patient information but also enhances data …

applications arxiv aware challenge cs.cr cs.lg data detection health information medical medical data monitoring personal personal information privacy research resource response sensitive sensor sensor data smart smartwatch stress synthetic wearable

Sr. Product Manager

@ MixMode | Remote, US

Assoc/Mid ET P&C Control System Field Compliance Analyst (Glen Allen, VA)

@ Dominion Energy | GLEN ALLEN, VA, US, 23060

Technology Risk & Controls Lead- PCI Compliance

@ JPMorgan Chase & Co. | Plano, TX, United States

Editor, Compliance Risk and Diligence

@ Kroll | Manila, Philippines

KGS - KDN IAM Associate Consultant - Bengaluru

@ KPMG India | Bengaluru, Karnataka, India

KGS - IAM KDN Consultant - Bengaluru

@ KPMG India | Bengaluru, Karnataka, India