2 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
An Effective Clustering Approach to Web Query Log Anonymization
Amin Milani Fard, Ke Wang
Web query log data contain information useful to research; however, release of such data can re-identify the search engine users issuing the queries. These privacy concerns go far…
Anonymization with Worst-Case Distribution-Based Background Knowledge
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang +3
Background knowledge is an important factor in privacy preserving data publishing. Distribution-based background knowledge is one of the well studied background knowledge. However,…
Can the Utility of Anonymized Data be used for Privacy Breaches?
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang +2
Group based anonymization is the most widely studied approach for privacy preserving data publishing. This includes k-anonymity, l-diversity, and t-closeness, to name a few. The go…
Preserving Individual Privacy in Serial Data Publishing
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jia Liu +2
While previous works on privacy-preserving serial data publishing consider the scenario where sensitive values may persist over multiple data releases, we find that no previous wor…