Fairness-Aware Learning

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Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Fairness-Aware Learning.

Period ending 2026-09-07

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A weekly snapshot of new work published in Fairness-Aware Learning.

94 papers

Latest in Fairness-Aware Learning

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DenseFace: Bias Mitigation in Face Recognition via Density-Aware Probabilistic Matching
Sep 14, 2026Mansur Bultygov, Vadim Seliutin, Dmitry Nekhaev +1Face Recognition Systems Fairness-Aware Learning
Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning
Sep 14, 2026Ting Xu, Henry LeungFairness-Aware Learning
MUtE: A Dual Framework for Concept Erasure and Counterfactual Interventions
Sep 11, 2026Antoine SaillenfestConcept Erasure Fairness-Aware Learning
A Sub-4 Approximation for Fair $k$ -MeansA Sub-4 Approximation for Fair k-Means
Sep 7, 2026Kangke Cheng, Guanlin Mo, Shihong Song +1K$-Means Approximation Algorithms
Prevalence calibration as shortcut mitigation
Sep 7, 2026Mohamed Amine Kina, Eike PetersenShortcuts Prevalence
Portable Causal Fairness Across Synthetic Data Generator Families
Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockFairness-Aware Learning Synthetic Data
Fairness in multi-class multi-group classification problems via contextial coherent risk measures
Aug 31, 2026Darinka Dentcheva, Xiangyu TianFairness-Aware Learning Multiclass Classification
Bias Mitigation in Face Recognition via Demographic-based Supervised Contrastive Learning
Aug 13, 2026Yu Linghu, Salman Mohammad, Xinyi Zhang +1Fairness-Aware Learning Bias Detection and Mitigation
FSGR: Mitigating Token Frequency Bias for Fair SID-Based Generative Recommendation
Aug 13, 2026Yuchen Zheng, Sihan Xu, Jingwen Yang +3Recommendation Architecture Fairness-Aware Learning
A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes
Aug 11, 2026Yijin Ni, Xiaoming HuoFairness-Aware Learning Disparities
Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning
Aug 6, 2026Devharsh Trivedi, Nesrine Kaaniche, Nikos Triandopoulos +2Fairness-Aware Learning Fairness
FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection
Aug 3, 2026Yaning Zhang, Jiao Wu, Zan Gao +1Deepfake Detection Face Forgery Detection
FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents
Jul 31, 2026Nitish Nagesh, Mahdi Bagheri, Amir M. RahmaniFairness-Aware Learning Fairness
Directional Influence Function: Estimating Training Data Influence in Constrained Learning
Jul 25, 2026Xin Wang, R. Tyrrell Rockafellar, Xuegang +1Efficient Influence Function Fairness-Aware Learning
Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning
Jul 23, 2026Lorenzo Orsingher, Thomas De Min, Massimiliano Mancini +2Large Language Model Unlearning Unlearning Aims
COVAriance-Induced Fairness Gap Penalty for Subgroup-Fair Clustering
Jul 20, 2026Kyungseon Lee, Hankyo Jeong, Kunwoong Kim +2Subgroup Information Fairness-Aware Learning
Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics
Jul 16, 2026Yuchang Zhu, Zezhong Xie, Huizhe Zhang +4Fairness-Aware Learning Fairness
Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data
Jul 8, 2026Vinícius Gabriel Angelozzi, Héber H. ArcoleziDifferential Privacy Fairness-Aware Learning
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
Jul 7, 2026Sangwon Jung, Sumin Yu, Sanghyuk Chun +1Fairness-Aware Learning Fairness
Functional Bilevel Optimization for Predictive Fairness
Jul 6, 2026Ieva Petrulionyte, Julien Mairal, Michael ArbelFairness-Aware Learning Fairness
Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization
Jul 1, 2026Dain Kim, Jinseo Kim, Sungyong BaikText-To-Image Diffusion Models Diffusion Models
Fairness Attacks on Recommender Systems
Jun 27, 2026Yanan Wang, Yong GeRecommender Systems Fairness-Aware Learning
Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off
Jun 26, 2026Maaya Sakata, Kazuto FukuchiFairness-Aware Learning Extreme Class Imbalance
Adaptive Utility driven Resource Orchestration for Resilient AI (AURORA-AI)
Jun 25, 2026Rahul Umesh Mhapsekar, Ilias Cherkaoui, Lizy Abraham +1Artificial Intelligence Deployment Fairness-Aware Learning
Stabilizing black-box algorithms through task-oriented randomization
Jun 24, 2026Yali Wang, Zhaojun WangRandom Black Box
FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data
Jun 22, 2026Marcel Hedman, Emily Alger, Brieuc Lehmann +2Fairness-Aware Learning Bayesian Experimental Design
Data Bias Mitigation under Coverage Constraints & The Price of Fairness
Jun 18, 2026Bruno Scarone, Alfredo Viola, Renée J. MillerFairness-Aware Learning Fairness
P $^2$ CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual ExplanationsP^2CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations
Jun 16, 2026Arthur Hendricks Mendes de Oliveira, Giovani Valdrighi, Marcos Medeiros RaimundoCounterfactual Explanation Fairness-Aware Learning
A fairness-aware extension of Stochastic Multicriteria Acceptability Analysis for ranking
Jun 16, 2026Guilherme Dean Pelegrina, Renata PelissariFairness-Aware Learning Fairness
Geometrical fairness in graph neural networks
Jun 16, 2026Arturo Pérez-Peralta, Sandra Benítez-Peña, Blas Kolic +1Fairness-Aware Learning Fairness
Towards Provably Fair Machine Learning: Bayesian Approaches For Consistent and Transparent Predictions
Jun 10, 2026Owen O'Neill, Fintan CostelloFairness-Aware Learning Subgroup Information
Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models
Jun 9, 2026Hartwig GrabowskiGrading Handwriting
Is Fairness Truly Fair? Towards Reliable Lipschitz Fairness in Multi-Task Learning via Fixed-\texorpdfstring{ $δ$ }{delta} AlignmentIs Fairness Truly Fair? Towards Reliable Lipschitz Fairness in Multi-Task Learning via Fixed-\texorpdfstring{δ}{delta} Alignment
Jun 9, 2026Junbo Ding, Xin Zang, Chenchen Pan +3Fairness-Aware Learning Fairness
Pareto-Guided Teacher Alignment for Fair Personalized Text Generation
Jun 8, 2026Tunazzina IslamPersonalization Preference Alignment
PAFO: Pareto Fairness Optimization for Personalized Reward Modeling
Jun 6, 2026Xiaoyan Zhao, Haoting Ni, Yang Zhang +3Large Language Model Personalization Large Language Model Bias
UniFair: A unified fair clustering approach based on separation and compactness
Jun 3, 2026Antonia Karra, Vasiliki Papanikou, Georgios Vardakas +2Fairness-Aware Learning Clustering
Toward Calibrated, Fair, and accurate Deepfake Detection
Jun 3, 2026Ryan Brown, Chris RussellDeepfake Detection Unsupervised Detectors
Adaptive Calibration for Fair and Performant Facial Recognition
Jun 3, 2026Ryan Brown, Chris RussellFace Recognition Systems Fairness-Aware Learning
Detecting and Mitigating Bias by Treating Fairness as a Symmetry Operation
Jun 2, 2026Nishit SinghFairness-Aware Learning Fairness
FairGen: Preference-Aligned Diffusion for Demographically Equitable Medical Image Synthesis
Jun 1, 2026Zhimin Li, Ruichen Zhang, Zhen Tan +3Medical Image Generation Fairness-Aware Learning
Fair Finetuning Mitigates Distribution Inference Attacks
Jun 1, 2026Rakshit NaiduFairness-Aware Learning Fairness Audits
Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation
May 30, 2026Xinpeng Lv, Chunyuan Zheng, Yunxin Mao +9Fairness-Aware Learning Emotional Manipulation
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
May 30, 2026Xinpeng Lv, Chunyuan Zheng, Yunxin Mao +8Fairness-Aware Learning Fairness
Demystifying the Optimal Fair Classifier in Multi-Class Classification
May 30, 2026Li Zhang, Yuyuan Li, XiaoHua Feng +3Fairness-Aware Learning Multiclass Classification
Fairness-Aware Federated Learning with Trajectory Shapley Value
May 28, 2026Daniel Kuznetsov, Ziqi WangFairness-Aware Learning Fedavg
Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging
May 28, 2026Milad Masroor, Cuong Nguyen, Kevin Wells +1Fairness-Aware Learning Medical Imaging
Counterfactually Fair Regression via Optimal Transport
May 27, 2026M. Generali Lince, S. Gaucher, J-J. Vie +1Fairness-Aware Learning Regression
Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings
May 27, 2026M. Generali Lince, V. Divol, R. Flamary +2Fairness-Aware Learning Fairness
Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
May 27, 2026Myeongsoo Kim, Eunji Kim, Minwoo Chae +1Fairness-Aware Learning Fairness
Test-Time Collective Action: Proxy-Based Perturbations for Correcting Algorithmic Harms
May 26, 2026Meghana Bhange, Ulrich Aïvodji, Elliot CreagerFairness-Aware Learning Subgroup Information
A Blended Likelihood Approach for Achieving Fairness Using Naive Bayes
May 24, 2026John Arthur Junior, Abdul Lateef Yussif, Maame G. Asante-Mensah +3Fairness-Aware Learning Fairness
HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing
May 23, 2026Ruyi Chen, Lu Zhou, Xiaogang Xu +3Fairness-Aware Learning Text-To-Image
Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems
May 23, 2026Imesh Ekanayake, Elham Naghizade, Jeffrey ChanFairness-Aware Learning Fairness
Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning
May 20, 2026Adda Akram Bendoukha, Heber Hwang Arcolezi, Nesrine Kaaniche +1Fairness-Aware Learning Differential Privacy
Provable Fairness Repair for Deep Neural Networks
May 19, 2026Jianan Ma, Jingyi Wang, Qi Xuan +1Fairness-Aware Learning Fairness
Neuron Incidence Redistribution for Fairness in Medical Image Classification
May 19, 2026Abin Shoby, Lyle John Palmer, Nikhil Cherian KurianFairness-Aware Learning Extreme Class Imbalance
Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification
May 19, 2026Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +6Fairness-Aware Learning Extreme Class Imbalance
Stochastic Penalty-Barrier Methods for Constrained Machine Learning
May 18, 2026Adam Bosák, Andrii Kliachkin, Jana Lepšová +2Quadratic Slack Penalty Fairness-Aware Learning
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
May 16, 2026David Troxell, Noah Roemer, Guido MontúfarFairness-Aware Learning Differentiable Relaxation
Avoiding Structural Failure Modes in Tabular Fair SSL: Online Primal-Dual Allocation under Confidence Gating
May 15, 2026Hangchuan Liang, Changchun LiFairness-Aware Learning Semi-Supervised Learning

Sep 14, 2026 · cs.CVJ/K move · Enter open · S save

DenseFace: Bias Mitigation in Face Recognition via Density-Aware Probabilistic Matching

Mansur Bultygov, Vadim Seliutin, Dmitry Nekhaev, Ivan Laptev

Despite steady progress in face recognition, current face recognition models still suffer from significant demographic biases. While approaches for bias mitigation have been proposed, existing methods often impose constraints on the training procedure and result in the degradation of recognition accuracy. To address this issue, we here introduce a method that reduces racial bias in pre-trained face recognition models without compromising their accuracy. To this end, we model face embeddings of each person by von Mises-Fisher (MF) distribution. We next observe the dependency between demographic attributes and the density of MF distributions, and propose DenseFace, a probabilistic face matching procedure that accounts for differences in MF distributions. Our extensive experiments demonstrate DenseFace to consistently reduce racial bias in strong face recognition models varying in network architectures, training datasets and loss functions. Notably, DenseFace preserves recognition accuracy and requires no retraining of the underlying face recognition model. Our work also investigates previously adopted bias measures and makes suggestions.

Face Recognition Systems Fairness-Aware Learning Dense Prediction Bias Detection and Mitigation

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