Fairness GAN
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Abstract (arXiv)
In this paper, we introduce the Fairness GAN, an approach for generating a dataset that is plausibly similar to a given multimedia dataset, but is more fair with respect to protected attributes in allocative decision making. We propose a novel auxiliary classifier GAN that strives for demographic parity or equality of opportunity and show empirical results on several datasets, including the CelebFaces Attributes (CelebA) dataset, the Quick, Draw! dataset, and a dataset of soccer player images and the offenses they were called for. The proposed formulation is well-suited to absorbing unlabeled data; we leverage this to augment the soccer dataset with the much larger CelebA dataset. The methodology tends to improve demographic parity and equality of opportunity while generating plausible images.
Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 May 2018.
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Citing papers per year: 2021: 9; 2022: 14; 2023: 7; 2024: 1; 2025: 1.
32 papers.
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- 2021Pros and Cons of GAN Evaluation Measures: New Developmentscited by 121
- 2021Understanding and Evaluating Racial Biases in Image Captioningcited by 108
- 2022Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluationcited by 59
- 2022Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifierscited by 53
- 2022Meta Balanced Network for Fair Face Recognitioncited by 53
- 2024Balancing Act: Distribution-Guided Debiasing in Diffusion Modelscited by 50
- 2021Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Featurescited by 45
- 2021PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognitioncited by 38
- 2021TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networkscited by 34
- 2022FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neuronscited by 20
- 2023FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associationscited by 18
- 2021Data synthesis and adversarial networks: A review and meta-analysis in cancer imagingcited by 15
20 more
- 2023Uncovering Bias in Face Generation Modelscited by 9
- 2021InvGAN: Invertible GANscited by 7
- 2022Mitigating Health Disparities in EHR via Deconfoundercited by 7
- 2022Self-Conditioned Generative Adversarial Networks for Image Editingcited by 6
- 2022CAT: Controllable Attribute Translation for Fair Facial Attribute Classificationcited by 6
- 2022Robust No-Regret Learning in Min-Max Stackelberg Gamescited by 5
- 2023PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexitiescited by 5
- 2022Information Removal at the bottleneck in Deep Neural Networkscited by 4
- 2021Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Studycited by 3
- 2021Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptationcited by 2
- 2022Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversitycited by 2
- 2022Unsupervised Learning of Unbiased Visual Representationscited by 2
- 2022Fairness in generative modelingcited by 2
- 2025Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactualscited by 2
- 2022Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Biascited by 1
- 2023On the causality-preservation capabilities of generative modellingcited by 1
- 2023Addressing Biases in the Texts using an End-to-End Pipeline Approachcited by 1
- 2023Semantic Image Attack for Visual Model Diagnosiscited by 1
- 2022Robustness and Adaptation to Hidden Factors of Variationcited by 0
- 2023Fair GANs through model rebalancing for extremely imbalanced class distributionscited by 0
- 2025Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals17 May 2025
- 2024Balancing Act: Distribution-Guided Debiasing in Diffusion Models28 Feb 2024
- 2023Fair GANs through model rebalancing for extremely imbalanced class distributions16 Aug 2023
- 2023FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations27 Apr 2023
- 2023Semantic Image Attack for Visual Model Diagnosis23 Mar 2023
- 2023Addressing Biases in the Texts using an End-to-End Pipeline Approach13 Mar 2023
- 2023PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities5 Mar 2023
- 2023Uncovering Bias in Face Generation Models22 Feb 2023
- 2023On the causality-preservation capabilities of generative modelling3 Jan 2023
- 2022Mitigating Health Disparities in EHR via Deconfounder28 Oct 2022
- 2022Fairness in generative modeling6 Oct 2022
- 2022Information Removal at the bottleneck in Deep Neural Networks30 Sep 2022
20 more
- 2022CAT: Controllable Attribute Translation for Fair Facial Attribute Classification14 Sep 2022
- 2022Meta Balanced Network for Fair Face Recognition13 May 2022
- 2022Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation10 May 2022
- 2022Unsupervised Learning of Unbiased Visual Representations26 Apr 2022
- 2022Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity13 Apr 2022
- 2022FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons6 Apr 2022
- 2022Robust No-Regret Learning in Min-Max Stackelberg Games26 Mar 2022
- 2022Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers9 Mar 2022
- 2022Robustness and Adaptation to Hidden Factors of Variation3 Mar 2022
- 2022Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias18 Feb 2022
- 2022Self-Conditioned Generative Adversarial Networks for Image Editing8 Feb 2022
- 2021InvGAN: Invertible GANs8 Dec 2021
- 2021Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation15 Oct 2021
- 2021TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks2 Sep 2021
- 2021PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition9 Aug 2021
- 2021Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study23 Jul 2021
- 2021Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging20 Jul 2021
- 2021Understanding and Evaluating Racial Biases in Image Captioning16 Jun 2021
- 2021Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features29 Apr 2021
- 2021Pros and Cons of GAN Evaluation Measures: New Developments17 Mar 2021
- 2024Balancing Act: Distribution-Guided Debiasing in Diffusion Modelscited by 50
- 2023Uncovering Bias in Face Generation Modelscited by 9
- 2024Balancing Act: Distribution-Guided Debiasing in Diffusion Models28 Feb 2024
- 2023Uncovering Bias in Face Generation Models22 Feb 2023
- 2021Pros and Cons of GAN Evaluation Measures: New Developmentscited by 121
- 2021Understanding and Evaluating Racial Biases in Image Captioningcited by 108
- 2022Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluationcited by 59
- 2022Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifierscited by 53
- 2022Meta Balanced Network for Fair Face Recognitioncited by 53
- 2021Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Featurescited by 45
- 2021PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognitioncited by 38
- 2021TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networkscited by 34
- 2022FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neuronscited by 20
- 2023FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associationscited by 18
- 2021Data synthesis and adversarial networks: A review and meta-analysis in cancer imagingcited by 15
- 2021InvGAN: Invertible GANscited by 7
12 most cited of 30 All 30 (JSON)
- 2025Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals17 May 2025
- 2023Fair GANs through model rebalancing for extremely imbalanced class distributions16 Aug 2023
- 2023FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations27 Apr 2023
- 2023Semantic Image Attack for Visual Model Diagnosis23 Mar 2023
- 2023Addressing Biases in the Texts using an End-to-End Pipeline Approach13 Mar 2023
- 2023PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities5 Mar 2023
- 2023On the causality-preservation capabilities of generative modelling3 Jan 2023
- 2022Mitigating Health Disparities in EHR via Deconfounder28 Oct 2022
- 2022Fairness in generative modeling6 Oct 2022
- 2022Information Removal at the bottleneck in Deep Neural Networks30 Sep 2022
- 2022CAT: Controllable Attribute Translation for Fair Facial Attribute Classification14 Sep 2022
- 2022Meta Balanced Network for Fair Face Recognition13 May 2022
12 newest of 30 All 30 (JSON)