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Recent Advancement in Inference Control
Abstract Inference control is to address the greatest concern of statistical offices: Whether some sensitive information collected from individuals can be inferred from published statistical aggregates? This problem has been rigorously studied in mathematics, statistics, databases, management sciences, and information security. Inference control has many practical applications such as health statistics, national census, and business intelligence management. In this talk, I will briefly review the history of inference control research and highlight some recent advancement in this field, especially our results on the protection of contingency tables and data cubes. Biography LI Yingjiu is currently an Assistant Professor in the School of Information Systems at Singapore Management University. He received his Ph.D. degree in Information Technology from George Mason University in 2003. His research interests include data security, privacy protection, and digital rights management. |
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