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Privacy aware data analysis

Study and design of methods for anonymizing, randomizing, sanitizing both data and models extracted from data, to the purpose of protecting: the privacy and anonymity of the data subjects, i.e., the individuals whose personal data are under analysis; and the confidentiality of the information.

Publications

Anonymity: a Comparison between the Legal and Computer Science Perspectives.

Research Line: 
Mascetti, S, Monreale A, Ricci A, Gerino A.  2012.  Anonymity: a Comparison between the Legal and Computer Science Perspectives.. The 5rd International Conference on Computers, Privacy, and Data Protection: “European Data Protection: Coming of Age”.

Privacy-preserving data mining from outsourced databases.

Research Line: 
Giannotti, F, Lakshmanan LVS, Monreale A, Pedreschi D, Wang H.  2011.  Privacy-preserving data mining from outsourced databases.. the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice .