Differential privacy is an obfuscation method in which a randomized function is applied to the original dataset such that the removal of a single record does not significantly alter the likelihood of an output
Reference List
- Dwork, C. (2008, April). Differential privacy: A survey of results. In International conference on theory and applications of models of computation (pp. 1-19). Berlin, Heidelberg: Springer Berlin Heidelberg. (https://link.springer.com/chapter/10.1007/978-3-540-79228-4_1)