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Automated Directed Fairness Testing

Automated Directed Fairness Testing

2 July 2018
Sakshi Udeshi
Pryanshu Arora
Sudipta Chattopadhyay
    FaML
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Papers citing "Automated Directed Fairness Testing"

29 / 29 papers shown
Title
Testing Individual Fairness in Graph Neural Networks
Testing Individual Fairness in Graph Neural Networks
Roya Nasiri
29
0
0
25 Apr 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
Yining She
Sumon Biswas
Christian Kastner
Eunsuk Kang
52
0
0
03 Jan 2025
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
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
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
Latent Imitator: Generating Natural Individual Discriminatory Instances
  for Black-Box Fairness Testing
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
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
Explainable Global Fairness Verification of Tree-Based Classifiers
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
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
Minghua Ma
Zhao Tian
Max Hort
Federica Sarro
Hongyu Zhang
Qingwei Lin
Dongmei Zhang
23
5
0
17 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis
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
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
A Machine Learning Model for Predicting, Diagnosing, and Mitigating
  Health Disparities in Hospital Readmission
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission
Shaina Raza
32
14
0
13 Jun 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games
  on Selective Neurons
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Xuanqi Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Qianqian Wang
34
37
0
06 Apr 2022
Data Synthesis for Testing Black-Box Machine Learning Models
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
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
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
AequeVox: Automated Fairness Testing of Speech Recognition Systems
Sai Sathiesh Rajan
Sakshi Udeshi
Sudipta Chattopadhyay
28
15
0
19 Oct 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation
  Score
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
Vincenzo Riccio
Nargiz Humbatova
Gunel Jahangirova
Paolo Tonella
23
37
0
15 Sep 2021
Probabilistic Verification of Neural Networks Against Group Fairness
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
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
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline
Sumon Biswas
Hridesh Rajan
26
112
0
02 Jun 2021
Software Engineering for AI-Based Systems: A Survey
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández
Justus Bogner
Xavier Franch
Marc Oriol
Julien Siebert
Adam Trendowicz
Anna Maria Vollmer
Stefan Wagner
27
211
0
05 May 2021
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
38
121
0
14 Dec 2020
Astraea: Grammar-based Fairness Testing
Astraea: Grammar-based Fairness Testing
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
26
27
0
06 Oct 2020
Verifying Individual Fairness in Machine Learning Models
Verifying Individual Fairness in Machine Learning Models
Philips George John
Deepak Vijaykeerthy
Diptikalyan Saha
FaML
27
57
0
21 Jun 2020
Metamorphic Testing for Object Detection Systems
Metamorphic Testing for Object Detection Systems
Shuai Wang
Z. Su
34
24
0
19 Dec 2019
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training
  Data
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data
Xiaozhe Gu
Arvind Easwaran
19
29
0
11 Sep 2019
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
39
741
0
19 Jun 2019
Software Engineering for Fairness: A Case Study with Hyperparameter
  Optimization
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
Joymallya Chakraborty
Tianpei Xia
F. M. Fahid
Tim Menzies
FaML
38
40
0
14 May 2019
Grammar Based Directed Testing of Machine Learning Systems
Grammar Based Directed Testing of Machine Learning Systems
Sakshi Udeshi
Sudipta Chattopadhyay
27
15
0
26 Feb 2019
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