<cite>Elazar and Goldberg (2018)</cite> argue, however, that adversarial learning does not fully remove sensitive demographic traits from the data representations. This conclusion is based on the observation that a diagnostic classifier trained over the supposedly debiased data representations could still predict gender, age and race above chance level in <cite>their</cite> experimental setup.