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Fairness Aware Outlier Detection

Data Skeptic

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Detection of Unusualness in Outlie Retection

Anomaly detection is about detecting unusual ness, but an unusualness in the statistical forms as basicly loden siti rison feature space. The first problem that comes into outlie retection introducing fairness notion outlide didection, is availability of so many choices for notions of fairness and their formulations. In our recent work, which is called as fair od, we have designed a deciberato to cater to this problem ofa fair outlide detection. We also introduce a fairness critarion that could be incorporated into an outlie detection model.

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