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Emerging applications of randomized response concepts and some related issues

Randomized response (RR) was introduced as a technique for protecting respondent’s privacy in survey interviews regarding sensitive characteristics. In recent years, the basic RR ideas have been used and extended in other contexts. We discuss usage and recent advances of RR in confidentiality protection and in privacy preserving data mining. We discuss important differences between RR surveys and RR for confidentiality protection. In particular, for confidentiality protection, the data may be used to choose randomization probabilities suitably, but by doing so also makes well known inferences derived for RR surveys inapplicable. We examine one privacy breach criterion in data mining and propose a new privacy guarantee and a method for achieving that. We also discuss several new challenges and open problems for future research.