| Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools | Oct 14, 2021 | Adversarial AttackFairness | —Unverified | 0 |
| Adversarial Scrutiny of Evidentiary Statistical Software | Jun 19, 2022 | Fairness | —Unverified | 0 |
| Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks | Apr 21, 2024 | FairnessSynthetic Data Generation | —Unverified | 0 |
| Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning | Nov 13, 2019 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| Bugs in Machine Learning-based Systems: A Faultload Benchmark | Jun 24, 2022 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Building A Unified AI-centric Language System: analysis, framework and future work | Feb 6, 2025 | Fairness | —Unverified | 0 |
| Building Better Open-Source Tools to Support Fairness in Automated Scoring | Apr 1, 2017 | Fairness | —Unverified | 0 |
| Building Ethically Bounded AI | Dec 10, 2018 | Decision MakingFairness | —Unverified | 0 |
| A Novel NOMA Solution with RIS Partitioning | Nov 22, 2020 | Fairness | —Unverified | 0 |
| Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks | Apr 14, 2025 | EthicsFairness | —Unverified | 0 |
| Load Balancing in Federated Learning | Aug 1, 2024 | Decision MakingFairness | —Unverified | 0 |
| Bundled School Choice | Jan 8, 2025 | Fairness | —Unverified | 0 |
| Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation | Sep 17, 2024 | FairnessRecommendation Systems | —Unverified | 0 |
| CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning | May 28, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Balanced Filtering via Disclosure-Controlled Proxies | Jun 26, 2023 | Fairness | —Unverified | 0 |
| CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement | Mar 11, 2025 | DisentanglementFairness | —Unverified | 0 |
| An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline | Apr 1, 2021 | DiversityFairness | —Unverified | 0 |
| BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers | Oct 23, 2024 | Fairness | —Unverified | 0 |
| All of the Fairness for Edge Prediction with Optimal Transport | Oct 30, 2020 | AllAttribute | —Unverified | 0 |
| Cali3F: Calibrated Fast Fair Federated Recommendation System | May 26, 2022 | FairnessFederated Learning | —Unverified | 0 |
| Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees | Jan 15, 2023 | FairnessStochastic Optimization | —Unverified | 0 |
| Calibrated Fairness in Bandits | Jul 6, 2017 | Decision MakingFairness | —Unverified | 0 |
| Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification | May 8, 2025 | Decision MakingFairness | —Unverified | 0 |
| Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank | Nov 1, 2021 | FairnessLearning-To-Rank | —Unverified | 0 |
| Characterising Bias in Compressed Models | Oct 6, 2020 | FairnessQuantization | —Unverified | 0 |