Journal article
Data Anonymization With Diversity Constraints
Abstract
Recent privacy legislation has aimed to restrict and control the amount of personal data published by companies and shared with third parties. Much of this real data is not only sensitive requiring anonymization but also contains characteristic details from a variety of individuals. This diversity is desirable in many applications ranging from Web search to drug and product development. Unfortunately, data anonymization techniques have largely …
Authors
Milani M; Huang Y; Chiang F
Journal
IEEE Transactions on Knowledge and Data Engineering, Vol. 35, No. 4, pp. 3603–3618
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/tkde.2021.3131528
ISSN
1041-4347