Towards more accurate and useful data anonymity vulnerability measures

arXiv:2403.06595v1 Announce Type: new
Abstract: The purpose of anonymizing structured data is to protect the privacy of individuals in the data while retaining the statistical properties of the data. There is a large body of work that examines anonymization vulnerabilities. Focusing on strong anonymization mechanisms, this paper examines a number of prominent attack papers and finds several problems, all of which lead to overstating risk. First, some papers fail to establish a correct statistical inference baseline (or any at all), …

anonymity anonymization arxiv body cs.cr data large privacy protect purpose structured data vulnerabilities vulnerability work