Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing

arXiv:2405.13804v1 Announce Type: new
Abstract: Data sharing enables critical advances in many research areas and business applications, but it may lead to inadvertent disclosure of sensitive summary statistics (e.g., means or quantiles). Existing literature only focuses on protecting a single confidential quantity, while in practice, data sharing involves multiple sensitive statistics. We propose a novel framework to define, analyze, and protect multi-secret summary statistics privacy in data sharing. Specifically, we measure the privacy risk of any data release mechanism by …

applications arxiv business business applications confidential critical cs.cr data data sharing disclosure literature may practice privacy protecting research secrets sensitive sharing single statistic statistics