Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey

16 February 2022

Ferdinando Fioretto

Cuong Tran

Pascal Van Hentenryck

Keyu Zhu

FaML

ArXiv PDF HTML

Papers citing "Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey"

35 / 35 papers shown

Title
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness Héber H. Arcolezi Mina Alishahi Adda-Akram Bendoukha Nesrine Kaaniche 16 0 0 12 May 2025
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy Rushabh Solanki Meghana Bhange Ulrich Aïvodji Elliot Creager 19 0 0 09 May 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 74 5 0 17 Feb 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients Clément Lalanne Jean-Michel Loubes David Rodríguez-Vítores FedML 36 0 0 03 Feb 2025
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms Qinyi Liu Oscar Blessed Deho Farhad Vadiee Mohammad Khalil Srecko Joksimovic George Siemens SyDa 32 6 0 03 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 62 0 0 30 Dec 2024
Differential Privacy Overview and Fundamental Techniques Ferdinando Fioretto Pascal Van Hentenryck Juba Ziani 19 0 0 07 Nov 2024
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation Rohan Sukumaran Aarash Feizi Adriana Romero-Sorian G. Farnadi 34 1 0 22 Oct 2024
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes Joonhyuk Ko Juba Ziani Saswat Das Matt Williams Ferdinando Fioretto 22 0 0 16 Aug 2024
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness Ferdinando Fioretto Diptangshu Sen Juba Ziani 19 1 0 08 Aug 2024
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results K. Makhlouf Tamara Stefanovic Héber H. Arcolezi C. Palamidessi 25 3 0 23 May 2024
Advances in Differential Privacy and Differentially Private Machine Learning Saswat Das Subhankar Mishra 22 3 0 06 Apr 2024
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values Shubham Sharma Sanghamitra Dutta Emanuele Albini Freddy Lecue Daniele Magazzeni Manuela Veloso 27 1 0 13 Mar 2024
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy Songjie Xie Youlong Wu Jiaxuan Li Ming Ding Khaled B. Letaief AAML 13 1 0 16 Feb 2024
On the Impact of Output Perturbation on Fairness in Binary Linear Classification Vitalii Emelianov Michael Perrot FaML 14 0 0 05 Feb 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 11 5 0 22 Dec 2023
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy Lucas Rosenblatt Julia Stoyanovich Christopher Musco 11 2 0 18 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 39 2 0 07 Dec 2023
On the Impact of Multi-dimensional Local Differential Privacy on Fairness K. Makhlouf Héber H. Arcolezi Sami Zhioua G. B. Brahim C. Palamidessi 12 4 0 07 Dec 2023
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 26 2 0 06 Dec 2023
Automated discovery of trade-off between utility, privacy and fairness in machine learning models Bogdan Ficiu Neil D. Lawrence Andrei Paleyes 14 1 0 27 Nov 2023
Trading-off price for data quality to achieve fair online allocation M. Molina Nicolas Gast P. Loiseau Vianney Perchet 6 4 0 23 Jun 2023
Disentangling and Operationalizing AI Fairness at LinkedIn Joaquin Quiñonero Candela Yuwen Wu Brian Hsu Sakshi Jain Jennifer Ramos Jon Adams R. Hallman Kinjal Basu 8 8 0 30 May 2023
FairDP: Certified Fairness with Differential Privacy K. Tran Ferdinando Fioretto Issa M. Khalil My T. Thai Nhathai Phan 17 0 0 25 May 2023
On the Fairness Impacts of Private Ensembles Models Cuong Tran Ferdinando Fioretto 26 4 0 19 May 2023
(Local) Differential Privacy has NO Disparate Impact on Fairness Héber H. Arcolezi K. Makhlouf C. Palamidessi 14 5 0 25 Apr 2023
Privacy and Bias Analysis of Disclosure Avoidance Systems Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck S. Das Christine Task 6 2 0 28 Jan 2023
On the Alignment of Group Fairness with Attribute Privacy Jan Aalmoes Vasisht Duddu A. Boutet 20 2 0 18 Nov 2022
Differential Privacy has Bounded Impact on Fairness in Classification Paul Mangold Michaël Perrot A. Bellet Marc Tommasi 10 17 0 28 Oct 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 23 23 0 16 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala AAML 16 14 0 02 Sep 2022
How unfair is private learning ? Amartya Sanyal Yaxian Hu Fanny Yang FaML FedML 9 22 0 08 Jun 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 32 37 0 26 May 2022
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 11 11 0 11 Apr 2022
Observations on the Bias of Nonnegative Mechanisms for Differential Privacy Aisling McGlinchey O. Mason 8 2 0 08 Jan 2021