Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
Personal privacy has become one of the pressure points that comprises utmost primacy in the scientific community. An often debated privacy issue concerns the means of soliciting c...
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
Randomization has emerged as a useful technique for data disguising in privacy-preserving data mining. Its privacy properties have been studied in a number of papers. Kargupta et ...
Abstract The protection of customer privacy is a fundamental issue in today's corporate marketing strategies. Not surprisingly, many research efforts have proposed new privacy...