Differential privacy is a powerful tool for providing privacypreserving noisy query answers over statistical databases. It guarantees that the distribution of noisy query answers...
Publishing a database instance containing individual information poses two kinds of privacy risk: presence leakage, by which the attackers can explicitly identify individuals in (...
Public data sharing is utilized in a number of businesses to facilitate the exchange of information. Privacy constraints are usually enforced to prevent unwanted inference of info...
Ongoing concerns have been raised over the effectiveness of information technology products and systems in maintaining privacy protection for sensitive data. The aim is to ensure ...
Peter R. Croll, Matthew Henricksen, William J. Cae...
Prior work in differential privacy has produced techniques for answering aggregate queries over sensitive data in a privacypreserving way. These techniques achieve privacy by addi...
Xiaokui Xiao, Gabriel Bender, Michael Hay, Johanne...