Abstract Semi-supervised learning has shown its potential in many real-world applications where only few labeled examples are available. However, when some fairness constraints need to be satisfied, semi-supervised classification models often struggle as they required cope with the lack of sufficient information for predicting target variable while forgetting relationships any sensitive and pot...