FlipTest: Fairness Testing via Optimal Transport

21 June 2019

Papers citing "FlipTest: Fairness Testing via Optimal Transport"

50 / 55 papers shown

Title
Privilege Scores Ludwig Bothmann Philip A. Boustani Jose M. Alvarez Giuseppe Casalicchio Bernd Bischl Susanne Dandl 57 0 0 03 Feb 2025
Auditing and Enforcing Conditional Fairness via Optimal Transport Mohsen Ghassemi Alan Mishler Niccolò Dalmasso Luhao Zhang Vamsi K. Potluru T. Balch Manuela Veloso 33 0 0 17 Oct 2024
Optimal Transport for Probabilistic Circuits Adrian Ciotinga YooJung Choi TPM OT 47 0 0 16 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 33 2 0 07 Oct 2024
Unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning System Decisions Hussaini Mamman S. Basri A. Balogun Abubakar Abdullahi Imam Ganesh M. Kumar L. F. Capretz FaML 43 0 0 25 Jun 2024
Fairness in Social Influence Maximization via Optimal Transport Shubham Chowdhary Giulia De Pasquale Nicolas Lanzetti Ana-Andreea Stoica Florian Dorfler 20 0 0 25 Jun 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 43 4 0 29 Apr 2024
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups G. Giannopoulos Dimitris Sacharidis Nikolas Theologitis Loukas Kavouras Ioannis Emiris 16 0 0 29 Apr 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport Alireza Pirhadi Mohammad Hossein Moslemi Alexander Cloninger Mostafa Milani Babak Salimi 22 4 0 04 Mar 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 37 2 0 15 Feb 2024
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks Ziquan Liu Zhuo Zhi Ilija Bogunovic Carsten Gerner-Beuerle Miguel R. D. Rodrigues AAML 16 0 0 04 Feb 2024
Measuring and Mitigating Biases in Motor Insurance Pricing Mulah Moriah Franck Vermet Arthur Charpentier 11 1 0 20 Nov 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Jakub Marecek 40 3 0 17 Oct 2023
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 36 11 0 15 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Nearly Minimax Optimal Wasserstein Conditional Independence Testing Matey Neykov Larry A. Wasserman Ilmun Kim Sivaraman Balakrishnan 35 2 0 16 Aug 2023
On the Cause of Unfairness: A Training Sample Perspective Yuanshun Yao Yang Liu TDI 44 0 0 30 Jun 2023
Fairness Aware Counterfactuals for Subgroups Loukas Kavouras Konstantinos Tsopelas G. Giannopoulos Dimitris Sacharidis Eleni Psaroudaki Nikolaos Theologitis D. Rontogiannis Dimitris Fotakis Ioannis Emiris 42 8 0 26 Jun 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 22 26 0 19 May 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness Ruijin Sun Fengwei Zhou Zhenhua Dong Chuanlong Xie Lanqing Hong Jiawei Li Rui-Xun Zhang Zerui Li Zhenguo Li 35 2 0 01 Apr 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 29 2 0 30 Mar 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 30 13 0 23 Feb 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 40 6 0 13 Jan 2023
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models Arkadipta De Satya Swaroop Gudipudi Sourab Panchanan M. Desarkar FaML 18 0 0 30 Dec 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 26 0 0 29 Sep 2022
Explainable Global Fairness Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi 38 2 0 27 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
Locating disparities in machine learning Moritz von Zahn O. Hinz Stefan Feuerriegel 19 4 0 13 Aug 2022
Counterfactual Fairness Is Basically Demographic Parity Lucas Rosenblatt R. T. Witter 21 15 0 07 Aug 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 34 32 0 19 Apr 2022
GAN Estimation of Lipschitz Optimal Transport Maps Alberto González Sanz Lucas de Lara Louis Bethune Jean-Michel Loubes OT 11 2 0 16 Feb 2022
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers Krystal Maughan Ivoline C. Ngong Joseph P. Near 19 2 0 09 Feb 2022
Counterfactual Multi-Token Fairness in Text Classification P. Lohia 21 3 0 08 Feb 2022
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification Haibin Zheng Zhiqing Chen Tianyu Du Xuhong Zhang Yao Cheng S. Ji Jingyi Wang Yue Yu Jinyin Chen 16 51 0 25 Dec 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 36 42 0 07 Sep 2021
Transport-based Counterfactual Models Lucas de Lara Alberto González Sanz Nicholas M. Asher Laurent Risser Jean-Michel Loubes 25 27 0 30 Aug 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 28 92 0 26 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 25 4 0 21 Jul 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processing Zhe Yu Joymallya Chakraborty Tim Menzies FaML 49 3 0 17 Jul 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Testing Group Fairness via Optimal Transport Projections Nian Si Karthyek Murthy Jose H. Blanchet Viet Anh Nguyen 20 29 0 02 Jun 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 13 182 0 01 Jun 2021
Everything is Relative: Understanding Fairness with Optimal Transport Kweku Kwegyir-Aggrey Rebecca Santorella Sarah M. Brown OT 8 3 0 20 Feb 2021
A Consistent Extension of Discrete Optimal Transport Maps for Machine Learning Applications Lucas de Lara Alberto González Sanz Jean-Michel Loubes OT 38 9 0 17 Feb 2021
Unified Shapley Framework to Explain Prediction Drift Aalok Shanbhag A. Ghosh Josh Rubin FAtt FedML AI4TS 11 3 0 15 Feb 2021
Central Limit Theorems for General Transportation Costs E. del Barrio Alberto González Sanz Jean-Michel Loubes OT 13 27 0 12 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 16 24 0 05 Feb 2021
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 16 38 0 09 Dec 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 28 61 0 18 Jul 2020