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Designing Strong Privacy Metrics Suites Using Evolutionary Optimization
2021
ACM Transactions on Privacy and Security
The ability to measure privacy accurately and consistently is key in the development of new privacy protections. However, recent studies have uncovered weaknesses in existing privacy metrics, as well as weaknesses caused by the use of only a single privacy metric. Metrics suites, or combinations of privacy metrics, are a promising mechanism to alleviate these weaknesses, if we can solve two open problems: which metrics should be combined and how. In this article, we tackle the first problem,
doi:10.1145/3439405
fatcat:vkxmlmcm7fff5ckrw3rbkrfm7u