This paper deals with a new type of privacy threat, called "corruption", in anonymized data publication. Specifically, an adversary is said to have corrupted some individ...
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (rand...
Rakesh Agrawal, Ramakrishnan Srikant, Dilys Thomas
— Privacy, lineage, uncertainty, and security are important to many information integration efforts, and these “PLUS” properties interact in a number of complex ways. This pa...
Barbara T. Blaustein, Len Seligman, Michael Morse,...
The design of very small databases for smart cards and for portable embedded systems is deeply constrained by the peculiar features of the physical medium. Privacy concerns are re...
The goal of a statistical database is to provide statistics about a population while simultaneously protecting the privacy of the individual records in the database. The tension be...