CS700:Graduate Seminar in Computer Science & Informatics

Protecting Privacy and Confidentiality for Assured Information Sharing

While there is a growing demand for sharing data repositories across multiple autonomous, possibly untrusted, and private databases that contain personal information, it is increasingly stymied by constraints imposed by individual privacy as well as institutional data confidentiality. The first constraint can be generalized into the problem of privacy preserving data publishing where a data custodian needs to anonymize the data so that it does not contain individually identifiable information before distributing it to a data recipient. The second constraint can be generalized into the problem of multi-party secure computation where we wish to compute an answer given a query or data analysis task spanning multiple databases without revealing any information of each individual database apart from the result. This talk discusses the challenges and some initial research that aims to address these constraints for assured information sharing.
Li Xiong is Assistant Professor of Mathematics and Computer Science at Emory University. Her research interest is security, privacy, and trust issues in distributed database systems