sensitive attribute

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement AAAI 2026 Consistent End-to-End Estimation for Counterfactual Fairness CLeaR 2026 Fair Graph Learning with Limited Sensitive Attribute Information AAAI 2026 Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables UAI 2026 Causality-Inspired Disentanglement for Fair Graph Neural Networks IJCAI 2025 FairDen: Fair Density-Based Clustering ICLR 2025 Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains WACV 2025 fairGNN-WOD: Fair Graph Learning Without Complete Demographics IJCAI 2025 FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation ICML 2025 Fairness Risks for Group-Conditionally Missing Demographics AISTATS 2025 Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation EMNLP 2025 Towards counterfactual fairness through auxiliary variables ICLR 2025 WavShape: Information-Theoretic Speech Representation Learning for Fair and Privacy-Aware Audio Processing Interspeech 2025 Empirical Likelihood for Fair Classification ICLR 2024 Fairness guarantees in multi-class classification with demographic parity JMLR 2024 FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NeurIPS 2024 Fair Sampling in Diffusion Models through Switching Mechanism AAAI 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes AISTATS 2024 Intersectional Unfairness Discovery ICML 2024 Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach ICLR 2024 On the Fairness ROAD: Robust Optimization for Adversarial Debiasing ICLR 2024 On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms UAI 2024 Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments IJCAI 2024 What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning IJCAI 2024