Fairness Testing: Testing Software for Discrimination

11 September 2017

Papers citing "Fairness Testing: Testing Software for Discrimination"

50 / 67 papers shown

Title
Testing Individual Fairness in Graph Neural Networks Roya Nasiri 29 0 0 25 Apr 2025
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 37 0 0 23 Apr 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 52 0 0 03 Jan 2025
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search Zhaohui Wang Min Zhang Jingran Yang Bojie Shao Min Zhang 61 4 0 31 Dec 2024
Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification Kyle Thompson Nuno Saavedra Pedro Carrott Kevin Fisher Alex Sanchez-Stern Yuriy Brun J. Ferreira Sorin Lerner E. First LRM 105 1 0 18 Dec 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 41 3 0 29 Aug 2024
FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software Normen Yu Luciana Carreon Gang Tan Saeid Tizpaz-Niari 39 2 0 01 Jul 2024
$GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing$ GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing Yisong Xiao Aishan Liu QianJia Cheng Zhenfei Yin Siyuan Liang Jiapeng Li Jing Shao Xianglong Liu Dacheng Tao 66 4 0 30 Jun 2024
Probabilistic Verification of Neural Networks using Branch and Bound David Boetius Stefan Leue Tobias Sutter 45 1 0 27 May 2024
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 42 1 0 29 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 38 8 0 26 Mar 2024
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning Aimen Gaba Zhanna Kaufman Jason Chueng Marie Shvakel Kyle Wm. Hall Yuriy Brun Cindy Xiong Bearfield 32 14 0 07 Aug 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 32 26 0 19 May 2023
Adversarial Sampling for Fairness Testing in Deep Neural Network Tosin Ige William Marfo Justin Tonkinson Sikiru Adewale Bolanle Hafiz Matti OOD 26 9 0 06 Mar 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 30 13 0 23 Feb 2023
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics Huy Tu Tim Menzies 36 0 0 03 Feb 2023
Provable Fairness for Neural Network Models using Formal Verification Giorgian Borca-Tasciuc Xingzhi Guo Stanley Bak Steven Skiena 29 4 0 16 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 16 24 0 08 Dec 2022
Certifying Fairness of Probabilistic Circuits Nikil Selvam Guy Van den Broeck YooJung Choi FaML TPM 15 6 0 05 Dec 2022
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 32 1 0 21 Nov 2022
Explainable Global Fairness Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi 40 2 0 27 Sep 2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances Minghua Ma Zhao Tian Max Hort Federica Sarro Hongyu Zhang Qingwei Lin Dongmei Zhang 20 5 0 17 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 24 31 0 15 Sep 2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 24 67 0 07 Jul 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 27 5 0 01 Jun 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 33 17 0 18 May 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 29 34 0 22 Apr 2022
Data Synthesis for Testing Black-Box Machine Learning Models Diptikalyan Saha Aniya Aggarwal Sandeep Hans 25 4 0 03 Nov 2021
Fair-SSL: Building fair ML Software with less data Joymallya Chakraborty Suvodeep Majumder Huy Tu SyDa 19 5 0 03 Nov 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 25 26 0 25 Oct 2021
AequeVox: Automated Fairness Testing of Speech Recognition Systems Sai Sathiesh Rajan Sakshi Udeshi Sudipta Chattopadhyay 28 15 0 19 Oct 2021
Trustworthy AI: From Principles to Practices Bo Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 357 0 04 Oct 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 38 2 0 11 Aug 2021
Probabilistic Verification of Neural Networks Against Group Fairness Bing-Jie Sun Jun Sun Ting Dai Lijun Zhang AAML 21 22 0 18 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 59 95 0 01 Jul 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 26 112 0 02 Jun 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 37 11 0 03 May 2021
A Review of Formal Methods applied to Machine Learning Caterina Urban Antoine Miné 46 55 0 06 Apr 2021
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals Sainyam Galhotra Romila Pradhan Babak Salimi CML 30 105 0 22 Mar 2021
Blindspots in Python and Java APIs Result in Vulnerable Code Yuriy Brun Tian Lin J. Somerville Elisha M Myers Natalie C. Ebner 30 7 0 10 Mar 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 25 22 0 12 Feb 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 33 18 0 17 Dec 2020
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 38 121 0 14 Dec 2020
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation Hong Shen Wesley Hanwen Deng Aditi Chattopadhyay Zhiwei Steven Wu Xu Wang Haiyi Zhu 27 63 0 22 Oct 2020
Astraea: Grammar-based Fairness Testing E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay 26 27 0 06 Oct 2020
Ensuring Fairness Beyond the Training Data Debmalya Mandal Samuel Deng Suman Jana Jeannette M. Wing Daniel J. Hsu FaML OOD 27 58 0 12 Jul 2020
Verifying Individual Fairness in Machine Learning Models Philips George John Deepak Vijaykeerthy Diptikalyan Saha FaML 27 57 0 21 Jun 2020
Personalized Chatbot Trustworthiness Ratings Biplav Srivastava F. Rossi Sheema Usmani Mariana Bernagozzi 22 20 0 13 May 2020
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 19 8 0 10 Mar 2020