| Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks | Feb 4, 2022 | AttributeFairness | —Unverified | 0 | 0 |
| Digital Ethics in Federated Learning | Oct 4, 2023 | EthicsFairness | —Unverified | 0 | 0 |
| A Local Search Framework for Experimental Design | Oct 29, 2020 | Experimental DesignFairness | —Unverified | 0 | 0 |
| Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models | Aug 12, 2024 | DiagnosticDomain Adaptation | —Unverified | 0 | 0 |
| Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks | Dec 5, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models | Aug 17, 2023 | FairnessXLM-R | —Unverified | 0 | 0 |
| Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data | Sep 27, 2024 | DiagnosticFairness | —Unverified | 0 | 0 |
| Balancing Fairness and Accuracy in Data-Restricted Binary Classification | Mar 12, 2024 | AttributeBinary Classification | —Unverified | 0 | 0 |
| Almost Group Envy-free Allocation of Indivisible Goods and Chores | Jul 16, 2019 | Fairness | —Unverified | 0 | 0 |
| Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization | Aug 23, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey | Feb 16, 2022 | FairnessPrivacy Preserving | —Unverified | 0 | 0 |
| Differentially Private Tabular Data Synthesis using Large Language Models | Jun 3, 2024 | FairnessTabular Data Generation | —Unverified | 0 | 0 |
| Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning | Jun 25, 2021 | FairnessInteractive Recommendation | —Unverified | 0 | 0 |
| Differentially Private Fair Learning | Dec 6, 2018 | AttributeFairness | —Unverified | 0 | 0 |
| Differentially Private Empirical Risk Minimization under the Fairness Lens | Dec 1, 2021 | Fairness | —Unverified | 0 | 0 |
| Balanced Ranking with Diversity Constraints | Jun 4, 2019 | DiversityFairness | —Unverified | 0 | 0 |
| (Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna | Feb 6, 2022 | Fairness | —Unverified | 0 | 0 |
| Differentially Empirical Risk Minimization under the Fairness Lens | Jun 4, 2021 | Fairness | —Unverified | 0 | 0 |
| Differentially Private Data Release on Graphs: Inefficiencies and Unfairness | Aug 8, 2024 | Fairness | —Unverified | 0 | 0 |
| Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach | Sep 26, 2020 | Decision MakingDeep Learning | —Unverified | 0 | 0 |
| Differentially Private and Fair Classification via Calibrated Functional Mechanism | Jan 14, 2020 | Autonomous DrivingBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Balanced House Allocation | Sep 5, 2021 | Fairness | —Unverified | 0 | 0 |
| Differential Adjusted Parity for Learning Fair Representations | Feb 13, 2025 | Fairness | —Unverified | 0 | 0 |
| Differentiable Optimal Adversaries for Learning Fair Representations | Oct 21, 2020 | Fairnessregression | —Unverified | 0 | 0 |
| Balanced Filtering via Disclosure-Controlled Proxies | Jun 26, 2023 | Fairness | —Unverified | 0 | 0 |