Anti-discrimination Analysis Using Privacy Attack Strategies

28 citations recorded by the source corpus.

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Exposing the probabilistic causal structure of discrimination (2015, background): “[29,38] adopt a form of rule inference to cope with the indirect discovery of discrimination.”
Discrimination-aware data mining: a survey (2017, background): “Ruggieri et al. (2014) have described different privacy attack strategies to solve problems such as indirect discrimination discovery, privacy-aware discrimination discovery and discrimination data recovery.”
Measuring discrimination in algorithmic decision making (2017, background): “A data mining approach for discrimination discovery typically extracts association and classification rules from data, and then evaluates those rules in terms of potential discrimination [28,39,40,47,49,53,54].”
On Discrimination Discovery Using Causal Networks (2016, methodology): “The authors in [19] adopted an approach based on rule inference to deal with the indirect discovery.”