Decision Making with Differential Privacy under a Fairness Lens

Decision Making with Differential Privacy under a Fairness Lens

16 May 2021

Ferdinando Fioretto

Pascal Van Hentenryck

Papers citing "Decision Making with Differential Privacy under a Fairness Lens"

16 / 16 papers shown

Title
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes Joonhyuk Ko Juba Ziani Saswat Das Matt Williams Ferdinando Fioretto 32 0 0 16 Aug 2024
Privacy at a Price: Exploring its Dual Impact on AI Fairness Mengmeng Yang Ming Ding Youyang Qu Wei Ni David B. Smith Thierry Rakotoarivelo 30 1 0 15 Apr 2024
On the Fairness Impacts of Private Ensembles Models Cuong Tran Ferdinando Fioretto 41 4 0 19 May 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 37 17 0 03 Feb 2023
Privacy and Bias Analysis of Disclosure Avoidance Systems Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck S. Das Christine Task 22 2 0 28 Jan 2023
Doubly Fair Dynamic Pricing Jianyu Xu Dan Qiao Yu-Xiang Wang 20 8 0 23 Sep 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 39 38 0 26 May 2022
Exploring the Unfairness of DP-SGD Across Settings Frederik Noe R. Herskind Anders Søgaard 17 4 0 24 Feb 2022
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey Ferdinando Fioretto Cuong Tran Pascal Van Hentenryck Keyu Zhu FaML 24 60 0 16 Feb 2022
Post-processing of Differentially Private Data: A Fairness Perspective Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 14 13 0 24 Jan 2022
Equity and Privacy: More Than Just a Tradeoff David Pujol Ashwin Machanavajjhala 27 15 0 08 Nov 2021
Private sampling: a noiseless approach for generating differentially private synthetic data M. Boedihardjo Thomas Strohmer Roman Vershynin SyDa 29 14 0 30 Sep 2021
A Fairness Analysis on Private Aggregation of Teacher Ensembles Cuong Tran M. H. Dinh Kyle Beiter Ferdinando Fioretto 21 12 0 17 Sep 2021
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods Terrance Liu G. Vietri Zhiwei Steven Wu SyDa 13 61 0 14 Jun 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 488 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019