Privacy-Preserving ECG Data Analysis with Differential Privacy: A Literature Review and A Case Study

arXiv:2406.13880v1 Announce Type: new
Abstract: Differential privacy has become the preeminent technique to protect the privacy of individuals in a database while allowing useful results from data analysis to be shared. Notably, it guarantees the amount of privacy loss in the worst-case scenario. Although many theoretical research papers have been published, practical real-life application of differential privacy demands estimating several important parameters without any clear solutions or guidelines. In the first part of the paper, we provide an overview of …

analysis arxiv case cs.cr data data analysis database differential privacy literature loss privacy protect results review scenario shared study