ProPublica's COMPAS Data Revisited

11 June 2019

Papers citing "ProPublica's COMPAS Data Revisited"

25 / 25 papers shown

Title
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 48 0 0 30 Apr 2025
Deontic Temporal Logic for Formal Verification of AI Ethics Priya T.V. Shrisha Rao 34 0 0 10 Jan 2025
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 37 0 0 05 Nov 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior Xuanqian Wang Jing Li Ivor Tsang Yew-Soon Ong 29 0 0 04 Nov 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis Zhipeng He Chun Ouyang Laith Alzubaidi Alistair Barros Catarina Moreira AAML 33 0 0 16 Jul 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 43 4 0 10 Jun 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 33 4 0 13 Apr 2024
Conformalized Selective Regression Anna Sokol Nuno Moniz Nitesh V. Chawla 22 1 0 26 Feb 2024
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 33 0 10 Dec 2023
Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective Zhuotong Chen Qianxiao Li Zheng Zhang FaML 17 1 0 16 Nov 2023
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data Mayana Pereira Meghana Kshirsagar S. Mukherjee Rahul Dodhia J. L. Ferres Rafael de Sousa SyDa 40 11 0 30 Oct 2023
The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes Eoin M. Kenny Weipeng Huang 27 9 0 29 Oct 2023
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 20 11 0 30 Jun 2023
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 29 10 0 12 Jun 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Xia Hu 18 191 0 17 Mar 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 43 3 0 13 Feb 2023
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks Narine Kokhlikyan B. Alsallakh Fulton Wang Vivek Miglani Oliver Aobo Yang David Adkins 22 1 0 26 Dec 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 40 32 0 24 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 22 0 23 Nov 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E. Small Wei Shao Zeliang Zhang Peihan Liu Jeffrey Chan Kacper Sokol Flora D. Salim 57 2 0 11 Jul 2022
Is your model predicting the past? Moritz Hardt Michael P. Kim 16 11 0 23 Jun 2022
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach Alessandro Fabris Andrea Esuli Alejandro Moreo Fabrizio Sebastiani 23 18 0 17 Sep 2021
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing Aoting Hu Renjie Xie Zhigang Lu A. Hu Minhui Xue MIACV 18 15 0 28 Jul 2021
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises Mayana Pereira Meghana Kshirsagar S. Mukherjee Rahul Dodhia J. L. Ferres 19 9 0 15 Jun 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,084 0 24 Oct 2016