Faculty of Engineering and Natural Sciences
Saleable Opportunities for Private and Secure Computation
Christopher W. Clifton
Privacy-preserving data mining, and other privacy-preserving technologies, have developed many techniques to utilize and analyze data while protecting the privacy of the sources of the data. Unfortunately, privacy has yet to provide the economic incentives for commercial development of this technology. This talk will survey this work (and open challenges) in light of problems that may have greater incentives for development: collaborative analysis by parties that do not fully trust each other. Opportunities include job brokerage (assigning jobs in ways that most efficiently utilize resources of competing companies), supply chain optimization, inter-agency data sharing, etc. Techniques similar to those in privacy-preserving data mining can enable such applications without the degree of information disclosure and trust currently required, providing a business model for development of the technology (and as a by-product, reducing the number of trusted systems that need to be secured.)
Short Bio of Christopher W. Clifton, Associate Professor of Computer Science, Department of Computer Sciences, Purdue University
Dr. Clifton works on challenges posed by novel uses of data mining technology, ncluding privacy-preserving data mining, data mining of text, and data mining techniques applied to interoperation of heterogeneous information sources. Fundamental data mining challenges posed by these applications include extracting knowledge from noisy data, identifying knowledge in highly skewed data (few examples of "interesting" behavior), and limits on learning. He also works on database support for widely distributed and autonomously controlled information, particularly information administration issues such as supporting fine-grained access control.
Prior to joining Purdue, Dr. Clifton was a principal scientist in the Information Technology Division at the MITRE Corporation. Before joining MITRE in 1995, he was an assistant professor of computer science at Northwestern University.
Dec. 5, 2008, 15:40, FENS L055