Fairness Risks for Group-conditionally Missing Demographics
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Kaiqi, Fan, Wenzhe, Li, Mao, Zhang, Xinhua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Migrate Demographic Group For Fair GNNs
by: Hu, YanMing, et al.
Published: (2023)
by: Hu, YanMing, et al.
Published: (2023)
On Demographic Group Fairness Guarantees in Deep Learning
by: Luo, Yan, et al.
Published: (2024)
by: Luo, Yan, et al.
Published: (2024)
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
by: Wang, Xuanqian, et al.
Published: (2024)
by: Wang, Xuanqian, et al.
Published: (2024)
Counterfactual Fairness Is Not Demographic Parity, and Other Observations
by: Silva, Ricardo
Published: (2024)
by: Silva, Ricardo
Published: (2024)
Fairness-Aware Graph Representation Learning with Limited Demographic Information
by: Wang, Zichong, et al.
Published: (2025)
by: Wang, Zichong, et al.
Published: (2025)
Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics
by: Olulana, Oluseun, et al.
Published: (2024)
by: Olulana, Oluseun, et al.
Published: (2024)
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
Transferring Fairness using Multi-Task Learning with Limited Demographic Information
by: Aguirre, Carlos, et al.
Published: (2023)
by: Aguirre, Carlos, et al.
Published: (2023)
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
by: Belhadj, Samia, et al.
Published: (2024)
by: Belhadj, Samia, et al.
Published: (2024)
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
by: Wu, Qiming, et al.
Published: (2025)
by: Wu, Qiming, et al.
Published: (2025)
Minimax Optimal Fair Classification with Bounded Demographic Disparity
by: Zeng, Xianli, et al.
Published: (2024)
by: Zeng, Xianli, et al.
Published: (2024)
AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
by: Wang, Zichong, et al.
Published: (2025)
by: Wang, Zichong, et al.
Published: (2025)
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
by: Somerstep, Seamus, et al.
Published: (2024)
by: Somerstep, Seamus, et al.
Published: (2024)
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing
by: Paes, Lucas Monteiro, et al.
Published: (2023)
by: Paes, Lucas Monteiro, et al.
Published: (2023)
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
by: Zhang, He, et al.
Published: (2023)
by: Zhang, He, et al.
Published: (2023)
On the (In)Compatibility between Group Fairness and Individual Fairness
by: Xu, Shizhou, et al.
Published: (2024)
by: Xu, Shizhou, et al.
Published: (2024)
Navigating Towards Fairness with Data Selection
by: Zhang, Yixuan, et al.
Published: (2024)
by: Zhang, Yixuan, et al.
Published: (2024)
The Benefits and Risks of Transductive Approaches for AI Fairness
by: Razzak, Muhammed, et al.
Published: (2024)
by: Razzak, Muhammed, et al.
Published: (2024)
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)
by: Han, Xiaotian, et al.
Published: (2023)
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
by: Zhang, Lujing, et al.
Published: (2024)
by: Zhang, Lujing, et al.
Published: (2024)
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
by: Duan, Yuying, et al.
Published: (2024)
by: Duan, Yuying, et al.
Published: (2024)
KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
by: Davoodi, Farbod, et al.
Published: (2026)
by: Davoodi, Farbod, et al.
Published: (2026)
A Unified Post-Processing Framework for Group Fairness in Classification
by: Xian, Ruicheng, et al.
Published: (2024)
by: Xian, Ruicheng, et al.
Published: (2024)
FRAPPE: A Group Fairness Framework for Post-Processing Everything
by: Tifrea, Alexandru, et al.
Published: (2023)
by: Tifrea, Alexandru, et al.
Published: (2023)
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)
by: Li, Minghan, et al.
Published: (2025)
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
by: Song, Kefan, et al.
Published: (2025)
by: Song, Kefan, et al.
Published: (2025)
Properties of Group Fairness Metrics for Rankings
by: Schumacher, Tobias, et al.
Published: (2022)
by: Schumacher, Tobias, et al.
Published: (2022)
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
by: Qian, Xiaowei, et al.
Published: (2024)
by: Qian, Xiaowei, et al.
Published: (2024)
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
by: Cousins, Cyrus, et al.
Published: (2024)
by: Cousins, Cyrus, et al.
Published: (2024)
Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing
by: Xian, Ruicheng, et al.
Published: (2025)
by: Xian, Ruicheng, et al.
Published: (2025)
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks
by: Zhan, Duna, et al.
Published: (2024)
by: Zhan, Duna, et al.
Published: (2024)
Trade-offs Between Individual and Group Fairness in Machine Learning: A Comprehensive Review
by: Benítez-Peña, Sandra, et al.
Published: (2026)
by: Benítez-Peña, Sandra, et al.
Published: (2026)
Toward Unifying Group Fairness Evaluation from a Sparsity Perspective
by: Sheng, Zhecheng, et al.
Published: (2025)
by: Sheng, Zhecheng, et al.
Published: (2025)
Procedural Fairness via Group Counterfactual Explanation
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
FairGT: A Fairness-aware Graph Transformer
by: Luo, Renqiang, et al.
Published: (2024)
by: Luo, Renqiang, et al.
Published: (2024)
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
Marginal Fairness: Fair Decision-Making under Risk Measures
by: Huang, Fei, et al.
Published: (2025)
by: Huang, Fei, et al.
Published: (2025)
FairHome: A Fair Housing and Fair Lending Dataset
by: Bagalkotkar, Anusha, et al.
Published: (2024)
by: Bagalkotkar, Anusha, et al.
Published: (2024)
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation
by: Li, Chengyu, et al.
Published: (2024)
by: Li, Chengyu, et al.
Published: (2024)
FairWire: Fair Graph Generation
by: Kose, O. Deniz, et al.
Published: (2024)
by: Kose, O. Deniz, et al.
Published: (2024)
Similar Items
-
Migrate Demographic Group For Fair GNNs
by: Hu, YanMing, et al.
Published: (2023) -
On Demographic Group Fairness Guarantees in Deep Learning
by: Luo, Yan, et al.
Published: (2024) -
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
by: Wang, Xuanqian, et al.
Published: (2024) -
Counterfactual Fairness Is Not Demographic Parity, and Other Observations
by: Silva, Ricardo
Published: (2024) -
Fairness-Aware Graph Representation Learning with Limited Demographic Information
by: Wang, Zichong, et al.
Published: (2025)