Privacy-Preserving Classification and Clustering Using Secure Multi-Party Computation
@inproceedings{Samet2008PrivacyPreservingCA, title={Privacy-Preserving Classification and Clustering Using Secure Multi-Party Computation}, author={S. Samet and A. Miri}, year={2008} }
Nowadays, data mining and machine learning techniques are widely used in electronic applications in different areas such as e-government, e-health, e-business, and so on. One major and very crucial issue in these type of systems, which are normally distributed among two or more parties and are dealing with sensitive data, is preserving the privacy of individual’s sensitive information. Each party wants to keep its own raw data private while getting useful knowledge from the whole data owned by… CONTINUE READING
2 Citations
Privacy-Preserving Bayesian Network for Horizontally Partitioned Data
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