In recent years, significant work has been done to include fairness constraints in the training objective of machine learning algorithms. Differently from classical prediction retreatment algorithms, we focus on fair representations inputs. The challenge is learn that capture most relevant information predict targeted output Y, while not containing any about a sensitive attribute S. We leverage...