2/23/10 Secure Multiparty Computation and its Applications in Privacy-Preserving Data Analysis

On our meeting Tuesday, February 23 at 7:00pm in CS209A, Dr. Jiang will be presenting on Secure Multiparty Communication. Dr. Wei Jiang is an Assistant Professor in the Department of Computer Science at Missouri University of Science and Technology. He received Bachelor’s degrees in both Computer Science and Mathematics from the University of Iowa, Iowa City, Iowa, in 2002. He received a Master’s degree and a Ph.D. in Computer Science from Purdue University, West Lafayette, Indiana, in 2004 and 2008 respectively. His research interests include privacy-preserving data mining, data integration, privacy issues in federated search environments, and text sanitization.

Two millionaires, Alice and Bob, want to know who is richer, but they do not want to disclose how much money they have to each other. This can be achieved through a Trusted Third Party (TTP). Can we achieve the same objective without a TTP? Secure Multiparty Computation (SMC) techniques were specifically developed to solve this kind of problem. In this talk, we will introduce the concept of SMC and a generic solution to compute any two-party function securely. In addition, we will show how SMC concepts can be applied to protect data security and personal privacy in distributed data analysis, e.g., how police can query an FBI database for suspected criminal activities without disclosing what he or she is looking for to the FBI.

Update: The slides from the presentation are now available here (pdf)

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