Showing 1–10 of 10 results
/ Date/ Name
Mar 18, 2024Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule ListsDec 22, 2023SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine LearningAug 29, 2023Probabilistic Dataset Reconstruction from Interpretable ModelsSep 2, 2022Exploiting Fairness to Enhance Sensitive Attributes ReconstructionJun 14, 2021Characterizing the risk of fairwashingSep 3, 2020Model extraction from counterfactual explanationsSep 26, 2019GAMIN: An Adversarial Approach to Black-Box Model InversionSep 9, 2019Learning Fair Rule ListsJun 19, 2019Adversarial training approach for local data debiasingJan 28, 2019Fairwashing: the risk of rationalization