2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
Efficient Skyline Querying with Variable User Preferences on Nominal Attributes
Raymond Chi-Wing Wong, Ada Wai-chee Fu, Jian Pei +3
Current skyline evaluation techniques assume a fixed ordering on the attributes. However, dynamic preferences on nominal attributes are more realistic in known applications. In ord…