On the behavioral implications of differential privacy
| Autor: | Gail Gilboa-Freedman, Rann Smorodinsky |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
General Computer Science
Computer science Data_MISCELLANEOUS 0102 computer and information sciences 02 engineering and technology 01 natural sciences Data science Preference Theoretical Computer Science Set (abstract data type) 010201 computation theory & mathematics Order (business) 0202 electrical engineering electronic engineering information engineering Differential privacy 020201 artificial intelligence & image processing |
| Zdroj: | Theoretical Computer Science. 841:84-93 |
| ISSN: | 0304-3975 |
| DOI: | 10.1016/j.tcs.2020.07.005 |
| Popis: | Differential privacy is commonly used in the computer science literature as a mathematical definition of privacy for the purpose of quantifying and bounding privacy loss. It induces a preference order over the set of privacy-jeopardizing mechanisms which, in turn, adhere to some properties of this order. We show that a set of five such properties uniquely captures the ordinal implications of prioritizing the alternatives in agreement with differential privacy. The model can also be applied to evaluate the appropriateness of differential privacy in different settings. |
| Databáze: | OpenAIRE |
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