Group Anonymity: Problems and Solutions
Oleg Chertov, Dan Tavrov
TL;DR
This paper addresses the challenge of protecting group information in datasets, proposing methods to mask data patterns that reveal group identities, thus enhancing group anonymity beyond individual privacy.
Contribution
It introduces new methods utilizing wavelet transform to effectively achieve group anonymity in data sharing scenarios.
Findings
Proposed wavelet-based techniques improve group data masking.
Methods effectively conceal group patterns without compromising data utility.
Addresses open problems in group anonymity preservation.
Abstract
Existing methods of providing data anonymity preserve individual privacy, but, the task of protecting respondent groups' information in publicly available datasets remains open. Group anonymity lies in hiding (masking) data patterns that cannot be revealed by analyzing individual records. We discuss main corresponding problems, and provide methods for solving each one. Keywords: group anonymity, wavelet transform.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPrivacy, Security, and Data Protection · Cybersecurity and Cyber Warfare Studies · Privacy-Preserving Technologies in Data