Data mining is the task of discovering significant patterns/rules/results from a set of large amount of data stored in databases, data warehouse or in other information repositories. Even though the focus on datamining technology has been on the discovery of general patterns some data-mining applications may require to access individual’s records having sensitive privacy data. Abundance of reco...

Anonymization technique has been extensively studied and widely applied for privacy-preserving data publishing. In most previous approaches, a microdata table consists of three categories attribute: explicit-identifier, quasi-identifier (QI), sensitive attribute. Actually, different individuals may have view on the sensitivity attributes. Therefore, there is another type attribute that contains...

Contextual word representations generated by language models learn spurious associations present in the training corpora. Adversaries can exploit these to reverse-engineer private attributes of entities mentioned These findings have led efforts towards minimizing privacy risks models. However, existing approaches lack interpretability, compromise on data utility and fail provide guarantees. Thu...