Decision Making with Differential Privacy under a Fairness Lens
Fuente:
arXiv
Saved in:
| Main Authors: | Fioretto, Ferdinando, Tran, Cuong, Van Hentenryck, Pascal |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On The Fairness Impacts of Hardware Selection in Machine Learning
by: Nelaturu, Sree Harsha, et al.
Published: (2023)
by: Nelaturu, Sree Harsha, et al.
Published: (2023)
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)
by: Dinh, My H., et al.
Published: (2024)
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024)
by: Fioretto, Ferdinando, et al.
Published: (2024)
Differential Privacy Overview and Fundamental Techniques
by: Fioretto, Ferdinando, et al.
Published: (2024)
by: Fioretto, Ferdinando, et al.
Published: (2024)
End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)
by: Dinh, My H, et al.
Published: (2024)
FairDP: Certified Fairness with Differential Privacy
by: Tran, Khang, et al.
Published: (2023)
by: Tran, Khang, et al.
Published: (2023)
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
by: Alamdari, Parand A., et al.
Published: (2023)
by: Alamdari, Parand A., et al.
Published: (2023)
Algorithmic Fairness in AI Surrogates for End-of-Life Decision-Making
by: Ahmad, Muhammad Aurangzeb
Published: (2025)
by: Ahmad, Muhammad Aurangzeb
Published: (2025)
The Data Minimization Principle in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2024)
by: Ganesh, Prakhar, et al.
Published: (2024)
Low-rank finetuning for LLMs: A fairness perspective
by: Das, Saswat, et al.
Published: (2024)
by: Das, Saswat, et al.
Published: (2024)
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
by: Ko, Joonhyuk, et al.
Published: (2024)
by: Ko, Joonhyuk, et al.
Published: (2024)
Optimal Allocation of Privacy Budget on Hierarchical Data Release
by: Ko, Joonhyuk, et al.
Published: (2025)
by: Ko, Joonhyuk, et al.
Published: (2025)
Building Interpretable Models for Moral Decision-Making
by: Goel, Mayank, et al.
Published: (2026)
by: Goel, Mayank, et al.
Published: (2026)
Inducing Group Fairness in Prompt-Based Language Model Decisions
by: Atwood, James, et al.
Published: (2024)
by: Atwood, James, et al.
Published: (2024)
Fair CCA for Fair Representation Learning: An ADNI Study
by: Hou, Bojian, et al.
Published: (2025)
by: Hou, Bojian, et al.
Published: (2025)
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
by: Deho, Oscar Blessed, et al.
Published: (2024)
by: Deho, Oscar Blessed, et al.
Published: (2024)
A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluation
by: Andrews, Kenya S., et al.
Published: (2025)
by: Andrews, Kenya S., et al.
Published: (2025)
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
by: Yuan, Chih-Cheng Rex, et al.
Published: (2025)
by: Yuan, Chih-Cheng Rex, et al.
Published: (2025)
Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems
by: Wilms, Mieke, et al.
Published: (2026)
by: Wilms, Mieke, et al.
Published: (2026)
Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
by: Dargasz, Lisa
Published: (2025)
by: Dargasz, Lisa
Published: (2025)
DM-Bench: Benchmarking LLMs for Personalized Decision Making in Diabetes Management
by: Cardei, Maria Ana, et al.
Published: (2025)
by: Cardei, Maria Ana, et al.
Published: (2025)
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
by: Zhao, Chen, et al.
Published: (2023)
by: Zhao, Chen, et al.
Published: (2023)
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
by: Wu, Qiming, et al.
Published: (2025)
by: Wu, Qiming, et al.
Published: (2025)
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
by: Li, Dong, et al.
Published: (2024)
by: Li, Dong, et al.
Published: (2024)
Algorithmic Challenges in Ensuring Fairness at the Time of Decision
by: Salem, Jad, et al.
Published: (2021)
by: Salem, Jad, et al.
Published: (2021)
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
by: Gonzalez, Rosemarie Santa, et al.
Published: (2024)
by: Gonzalez, Rosemarie Santa, et al.
Published: (2024)
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning
by: Corbucci, Luca, et al.
Published: (2024)
by: Corbucci, Luca, et al.
Published: (2024)
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
by: Tamboli, Dipesh, et al.
Published: (2024)
by: Tamboli, Dipesh, et al.
Published: (2024)
Language Agents as Digital Representatives in Collective Decision-Making
by: Jarrett, Daniel, et al.
Published: (2025)
by: Jarrett, Daniel, et al.
Published: (2025)
Privacy at a Price: Exploring its Dual Impact on AI Fairness
by: Yang, Mengmeng, et al.
Published: (2024)
by: Yang, Mengmeng, et al.
Published: (2024)
Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates
by: Ajarra, Ayoub, et al.
Published: (2026)
by: Ajarra, Ayoub, et al.
Published: (2026)
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)
Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)
by: Taik, Afaf, et al.
Published: (2025)
Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)
by: Delaney, Eoin, et al.
Published: (2024)
FairMT: Fairness for Heterogeneous Multi-Task Learning
by: Hu, Guanyu, et al.
Published: (2025)
by: Hu, Guanyu, et al.
Published: (2025)
FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)
by: Robertson, Jake, et al.
Published: (2024)
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
by: Jia, Jingru, et al.
Published: (2024)
by: Jia, Jingru, et al.
Published: (2024)
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
by: Schröder, Maresa, et al.
Published: (2023)
by: Schröder, Maresa, et al.
Published: (2023)
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
by: Liu, Pengxi, et al.
Published: (2025)
by: Liu, Pengxi, et al.
Published: (2025)
Similar Items
-
On The Fairness Impacts of Hardware Selection in Machine Learning
by: Nelaturu, Sree Harsha, et al.
Published: (2023) -
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024) -
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024) -
Differential Privacy Overview and Fundamental Techniques
by: Fioretto, Ferdinando, et al.
Published: (2024) -
End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)