Fairness
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Benchmarks
BAF – Base
BAF – Variant I
BAF – Variant II
BAF – Variant III
BAF – Variant IV
BAF – Variant V
DiveFace
MORPH
UTKFace
Most implemented
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Agnostic Federated Learning
Papers
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
Recommender systems are known to exhibit fairness issues, particularly on the product side, where products and their associated suppliers receive unequal exposure in recommended results. While this problem has been widel…
FairnessRecommendation SystemsFedGA: A Fair Federated Learning Framework Based on the Gini Coefficient
Fairness has emerged as one of the key challenges in federated learning. In horizontal federated settings, data heterogeneity often leads to substantial performance disparities across clients, raising concerns about equi…
FairnessFederated LearningLooking for Fairness in Recommender Systems
Recommender systems can be found everywhere today, shaping our everyday experience whenever we're consuming content, ordering food, buying groceries online, or even just reading the news. Let's imagine we're in the proce…
FairnessRecommendation SystemsFADE: Adversarial Concept Erasure in Flow Models
Diffusion models have demonstrated remarkable image generation capabilities, but also pose risks in privacy and fairness by memorizing sensitive concepts or perpetuating biases. We propose a novel \textbf{concept erasure…
FairnessImage GenerationFairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone
Within a legal framework, fairness in datasets and models is typically assessed by dividing observations into predefined groups and then computing fairness measures (e.g., Disparate Impact or Equality of Odds with respec…
FairnessGuiding LLM Decision-Making with Fairness Reward Models
Large language models are increasingly used to support high-stakes decisions, potentially influencing who is granted bail or receives a loan. Naive chain-of-thought sampling can improve average decision accuracy, but has…
Decision MakingFairness