Dataset Groups Activity Stream Blind Justice: Fairness with Encrypted Sensitive Attributes The dataset used in the paper is not explicitly described, but it is mentioned that it contains sensitive attributes such as gender or race. BibTex: @dataset{Niki_Kilbertus_and_Adri`a_Gasc´on_and_Matt_Kusner_and_Michael_Veale_and_Krishna_P_Gummadi_and_Adrian_Weller_2025, abstract = {The dataset used in the paper is not explicitly described, but it is mentioned that it contains sensitive attributes such as gender or race.}, author = {Niki Kilbertus and Adri`a Gasc´on and Matt Kusner and Michael Veale and Krishna P. Gummadi and Adrian Weller}, doi = {10.57702/et25gr2o}, institution = {No Organization}, keyword = {'Fairness', 'Machine Learning', 'Sensitive Attributes'}, month = {jan}, publisher = {TIB}, title = {Blind Justice: Fairness with Encrypted Sensitive Attributes}, url = {https://service.tib.eu/ldmservice/dataset/blind-justice--fairness-with-encrypted-sensitive-attributes}, year = {2025} }
