Abstract. We initiate a theoretical study of the census problem. Informally, in a census individual respondents give private information to a trusted party (the census bureau), who...
Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam...
We study the problem of anonymizing data with quasi-sensitive attributes. Quasi-sensitive attributes are not sensitive by themselves, but certain values or their combinations may ...
Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many an...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Min-Te Su...
Database outsourcing becomes increasingly attractive as advances in network technologies eliminate the perceived performance difference between in-house databases and outsourced d...
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...