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Found 3 papers, 1 papers with code
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
The ROC curve is the major tool for assessing not only the performance but also the fairness properties of a similarity scoring function.
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
In spite of the high performance and reliability of deep learning algorithms in a wide range of everyday applications, many investigations tend to show that a lot of models exhibit biases, discriminating against specific subgroups of the population (e. g. gender, ethnicity).
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Face Verification
on LFW
Learning an Ethical Module for Bias Mitigation of pre-trained Models
In spite of the high performance and reliability of deep learning algorithms in broad range everyday applications, many investigations tend to show that a lot of models exhibit biases, discriminating against some subgroups of the population.
