Saved in:
| Main Authors: | de Oliveira, Anderson Santana, Kaplan, Caelin, Mallat, Khawla, Chakraborty, Tanmay |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2302.02910 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification
by: Hassanpour, Ahmad, et al.
Published: (2024)
by: Hassanpour, Ahmad, et al.
Published: (2024)
Optimal Fairness under Local Differential Privacy
by: Ghoukasian, Hrad, et al.
Published: (2025)
by: Ghoukasian, Hrad, et al.
Published: (2025)
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks
by: Kaplan, Caelin, et al.
Published: (2024)
by: Kaplan, Caelin, et al.
Published: (2024)
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021)
by: Fioretto, Ferdinando, et al.
Published: (2021)
FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
by: Amed, Sultan, et al.
Published: (2026)
by: Amed, Sultan, et al.
Published: (2026)
FairDP: Certified Fairness with Differential Privacy
by: Tran, Khang, et al.
Published: (2023)
by: Tran, Khang, et al.
Published: (2023)
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities
by: Lempereur, Etienne, et al.
Published: (2024)
by: Lempereur, Etienne, et al.
Published: (2024)
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
by: Xie, Songjie, et al.
Published: (2024)
by: Xie, Songjie, et al.
Published: (2024)
Fairness Meets Privacy: Integrating Differential Privacy and Demographic Parity in Multi-class Classification
by: Say, Lilian, et al.
Published: (2025)
by: Say, Lilian, et al.
Published: (2025)
Empirical Calibration and Metric Differential Privacy in Language Models
by: Faustini, Pedro, et al.
Published: (2025)
by: Faustini, Pedro, et al.
Published: (2025)
On the Impact of Multi-dimensional Local Differential Privacy on Fairness
by: Makhlouf, Karima, et al.
Published: (2023)
by: Makhlouf, Karima, et al.
Published: (2023)
Towards Interpretable Deep Neural Networks for Tabular Data
by: Elhadri, Khawla, et al.
Published: (2025)
by: Elhadri, Khawla, et al.
Published: (2025)
XNNTab -- Interpretable Neural Networks for Tabular Data using Sparse Autoencoders
by: Elhadri, Khawla, et al.
Published: (2025)
by: Elhadri, Khawla, et al.
Published: (2025)
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection
by: Chakraborty, Tanmay, et al.
Published: (2025)
by: Chakraborty, Tanmay, et al.
Published: (2025)
Explainable Bayesian Optimization
by: Chakraborty, Tanmay, et al.
Published: (2024)
by: Chakraborty, Tanmay, et al.
Published: (2024)
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
by: Auddy, Arnab, et al.
Published: (2024)
by: Auddy, Arnab, et al.
Published: (2024)
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits
by: Chakraborty, Sunrit, et al.
Published: (2024)
by: Chakraborty, Sunrit, et al.
Published: (2024)
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
by: Mohammadi, Samaneh, et al.
Published: (2025)
by: Mohammadi, Samaneh, et al.
Published: (2025)
Optimal Best Arm Identification under Differential Privacy
by: Jourdan, Marc, et al.
Published: (2025)
by: Jourdan, Marc, et al.
Published: (2025)
BVFLMSP : Bayesian Vertical Federated Learning for Multimodal Survival with Privacy
by: Kar, Abhilash, et al.
Published: (2026)
by: Kar, Abhilash, et al.
Published: (2026)
On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning
by: Yang, Zhi, et al.
Published: (2025)
by: Yang, Zhi, et al.
Published: (2025)
Achieving Hilbert-Schmidt Independence Under Rényi Differential Privacy for Fair and Private Data Generation
by: Hyrup, Tobias, et al.
Published: (2025)
by: Hyrup, Tobias, et al.
Published: (2025)
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
by: Gohar, Usman, et al.
Published: (2024)
by: Gohar, Usman, et al.
Published: (2024)
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
by: Nguyen, Tin Trung, et al.
Published: (2025)
by: Nguyen, Tin Trung, et al.
Published: (2025)
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
by: Makhlouf, Karima, et al.
Published: (2024)
by: Makhlouf, Karima, et al.
Published: (2024)
Differential Privacy in Two-Layer Networks: How DP-SGD Harms Fairness and Robustness
by: Xu, Ruichen, et al.
Published: (2026)
by: Xu, Ruichen, et al.
Published: (2026)
Deep Learning under Fractional-Order Differential Privacy
by: Partohaghighi, Mohammad, et al.
Published: (2026)
by: Partohaghighi, Mohammad, et al.
Published: (2026)
Empirical Privacy Variance
by: Hu, Yuzheng, et al.
Published: (2025)
by: Hu, Yuzheng, et al.
Published: (2025)
TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints
by: Kumar, Vagish, et al.
Published: (2026)
by: Kumar, Vagish, et al.
Published: (2026)
Federated Learning of Quantile Inference under Local Differential Privacy
by: Cai, Leheng, et al.
Published: (2025)
by: Cai, Leheng, et al.
Published: (2025)
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints
by: Kamalaruban, Parameswaran, et al.
Published: (2025)
by: Kamalaruban, Parameswaran, et al.
Published: (2025)
When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergence
by: Yaoling, Chen, et al.
Published: (2026)
by: Yaoling, Chen, et al.
Published: (2026)
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
by: Wasif, Dawood, et al.
Published: (2025)
by: Wasif, Dawood, et al.
Published: (2025)
Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
by: Cai, T. Tony, et al.
Published: (2026)
by: Cai, T. Tony, et al.
Published: (2026)
Offline and Online KL-Regularized RLHF under Differential Privacy
by: Wu, Yulian, et al.
Published: (2025)
by: Wu, Yulian, et al.
Published: (2025)
DARTS-GT: Differentiable Architecture Search for Graph Transformers with Quantifiable Instance-Specific Interpretability Analysis
by: Chakraborty, Shruti Sarika, et al.
Published: (2025)
by: Chakraborty, Shruti Sarika, et al.
Published: (2025)
Consistent Estimation of Numerical Distributions under Local Differential Privacy by Wavelet Expansion
by: Zhao, Puning, et al.
Published: (2025)
by: Zhao, Puning, et al.
Published: (2025)
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
by: Koskela, Antti, et al.
Published: (2025)
by: Koskela, Antti, et al.
Published: (2025)
Fairness and Privacy Guarantees in Federated Contextual Bandits
by: Solanki, Sambhav, et al.
Published: (2024)
by: Solanki, Sambhav, et al.
Published: (2024)
DP-NCB: Privacy Preserving Fair Bandits
by: Sarkar, Dhruv, et al.
Published: (2025)
by: Sarkar, Dhruv, et al.
Published: (2025)
Similar Items
-
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification
by: Hassanpour, Ahmad, et al.
Published: (2024) -
Optimal Fairness under Local Differential Privacy
by: Ghoukasian, Hrad, et al.
Published: (2025) -
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks
by: Kaplan, Caelin, et al.
Published: (2024) -
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021) -
FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
by: Amed, Sultan, et al.
Published: (2026)