Mining multiple private databases using a kNN classifier
Proceedings of the 2007 ACM symposium on Applied computing
Proceedings of the 16th ACM conference on Computer and communications security
Privacy-preserving publishing microdata with full functional dependencies
Data & Knowledge Engineering
To release or not to release: evaluating information leaks in aggregate human-genome data
ESORICS'11 Proceedings of the 16th European conference on Research in computer security
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The digitization of our daily lives has led to an explosion in the collection of data by governments, corporations, and individuals. Protection of confidentiality of this data is of utmost importance. However, knowledge of statistical properties of this private data can have significant societal benefit, for example, in decisions about the allocation of public funds based on Census data, or in the analysis of medical data from different hospitals to understand the interaction of drugs. This tutorial will survey recent research that builds bridges between the two seemingly conflicting goals of sharing data while preserving data privacy and confidentiality. The tutorial will cover definitions of privacy and disclosure, and associated methods how to enforce them.