Differential Privacy has Bounded Impact on Fairness in Classification

Differential Privacy has Bounded Impact on Fairness in Classification

28 October 2022

Michaël Perrot

Papers citing "Differential Privacy has Bounded Impact on Fairness in Classification"

13 / 13 papers shown

Title
Learning with Differentially Private (Sliced) Wasserstein Gradients Clément Lalanne Jean-Michel Loubes David Rodríguez-Vítores FedML 41 0 0 03 Feb 2025
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models Chen Qian Dongrui Liu Jie Zhang Yong Liu Jing Shao 24 1 0 22 Oct 2024
The Better Angels of Machine Personality: How Personality Relates to LLM Safety Jie M. Zhang Dongrui Liu Chao Qian Ziyue Gan Yong-jin Liu Yu Qiao Jing Shao LLMAG PILM 45 12 0 17 Jul 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
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models Chao Qian Jie M. Zhang Wei Yao Dongrui Liu Zhen-fei Yin Yu Qiao Yong Liu Jing Shao LLMSV LRM 52 13 0 29 Feb 2024
Differentially Private Fair Binary Classifications Hrad Ghoukasian S. Asoodeh FaML 19 1 0 23 Feb 2024
On the Impact of Output Perturbation on Fairness in Binary Linear Classification Vitalii Emelianov Michael Perrot FaML 19 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 16 5 0 22 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 14 5 0 07 Dec 2023
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 24 11 0 22 Jun 2022
Pre-trained Perceptual Features Improve Differentially Private Image Generation Fredrik Harder Milad Jalali Asadabadi Danica J. Sutherland Mijung Park 15 28 0 25 May 2022
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data Georgi Ganev Bristena Oprisanu Emiliano De Cristofaro 37 57 0 23 Sep 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019