Differentially Private Fair Learning

6 December 2018

Saeed Sharifi-Malvajerdi

Papers citing "Differentially Private Fair Learning"

50 / 89 papers shown

Title
Differentially Private Prototypes for Imbalanced Transfer Learning Dariush Wahdany Matthew Jagielski Adam Dziedzic Franziska Boenisch 90 0 0 17 Feb 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 46 0 0 03 Feb 2025
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI S. Giddens F. Liu 32 0 0 14 Nov 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 39 0 0 03 Oct 2024
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations Yinghui Huang Zihao Tang Xiangyu Chang FaML 30 0 0 23 Sep 2024
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness Ferdinando Fioretto Diptangshu Sen Juba Ziani 43 1 0 08 Aug 2024
Privacy-Preserving ECG Data Analysis with Differential Privacy: A Literature Review and A Case Study Arin Ghazarian Jianwei Zheng Cyril Rakovski 49 0 0 19 Jun 2024
Differentially Private Post-Processing for Fair Regression Ruicheng Xian Qiaobo Li Gautam Kamath Han Zhao 31 2 0 07 May 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems Tomás González Cristóbal Guzmán Courtney Paquette 54 3 0 05 Mar 2024
Differentially Private Fair Binary Classifications Hrad Ghoukasian S. Asoodeh FaML 40 1 0 23 Feb 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 39 1 0 16 Feb 2024
Regulation Games for Trustworthy Machine Learning Mohammad Yaghini Patty Liu Franziska Boenisch Nicolas Papernot FaML 23 2 0 05 Feb 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 28 5 0 22 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 49 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 31 5 0 07 Dec 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning Kangkang Sun Xiaojin Zhang Xi Lin Gaolei Li Jing Wang Jianhua Li 51 4 0 30 Nov 2023
Federated Learning with Reduced Information Leakage and Computation Tongxin Yin Xueru Zhang Mohammad Mahdi Khalili Mingyan Liu FedML 31 2 0 10 Oct 2023
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems Ehsan Toreini M. Mehrnezhad Aad van Moorsel 8 5 0 12 Sep 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models Phillip Rust Anders Søgaard 33 3 0 17 Aug 2023
Monitoring Algorithmic Fairness under Partial Observations T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 33 2 0 01 Aug 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 41 3 0 24 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 44 250 0 20 Jul 2023
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 36 11 0 30 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 34 43 0 25 Jun 2023
Trading-off price for data quality to achieve fair online allocation M. Molina Nicolas Gast P. Loiseau Vianney Perchet 26 4 0 23 Jun 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 27 6 0 25 May 2023
FairDP: Certified Fairness with Differential Privacy K. Tran Ferdinando Fioretto Issa M. Khalil My T. Thai Nhathai Phan 35 0 0 25 May 2023
On the Fairness Impacts of Private Ensembles Models Cuong Tran Ferdinando Fioretto 41 4 0 19 May 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 43 12 0 17 Apr 2023
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility Mohammad Yaghini Patty Liu Franziska Boenisch Nicolas Papernot FedML FaML 41 8 0 17 Feb 2023
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility William Paul P. Mathew F. Alajaji Philippe Burlina 11 2 0 15 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 21 7 0 06 Feb 2023
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 25 9 0 03 Nov 2022
Differential Privacy has Bounded Impact on Fairness in Classification Paul Mangold Michaël Perrot A. Bellet Marc Tommasi 31 17 0 28 Oct 2022
Stochastic Differentially Private and Fair Learning Andrew Lowy Devansh Gupta Meisam Razaviyayn FaML FedML 21 13 0 17 Oct 2022
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy Lucas Rosenblatt Bernease Herman Anastasia Holovenko Wonkwon Lee Joshua R. Loftus Elizabeth McKinnie Taras Rumezhak Andrii Stadnik Bill Howe Julia Stoyanovich 40 5 0 26 Aug 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning Marc Juárez Aleksandra Korolova FedML 32 9 0 24 Jun 2022
Disparate Impact in Differential Privacy from Gradient Misalignment Maria S. Esipova Atiyeh Ashari Ghomi Yaqiao Luo Jesse C. Cresswell 29 25 0 15 Jun 2022
Pre-trained Perceptual Features Improve Differentially Private Image Generation Fredrik Harder Milad Jalali Asadabadi Danica J. Sutherland Mijung Park 39 28 0 25 May 2022
Fair NLP Models with Differentially Private Text Encoders Gaurav Maheshwari Pascal Denis Mikaela Keller A. Bellet FedML SILM 36 15 0 12 May 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness Mckane Andrus Sarah Villeneuve FaML 30 50 0 18 Apr 2022
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 32 11 0 11 Apr 2022
The Impact of Differential Privacy on Group Disparity Mitigation Victor Petrén Bach Hansen A. Neerkaje Ramit Sawhney Lucie Flek Anders Søgaard 48 9 0 05 Mar 2022
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey Ferdinando Fioretto Cuong Tran Pascal Van Hentenryck Keyu Zhu FaML 32 60 0 16 Feb 2022
Post-processing of Differentially Private Data: A Fairness Perspective Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 18 13 0 24 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 24 5 0 13 Jan 2022
DP-SGD vs PATE: Which Has Less Disparate Impact on GANs? Georgi Ganev 21 5 0 26 Nov 2021
Node-Level Differentially Private Graph Neural Networks Ameya Daigavane Gagan Madan Aditya Sinha Abhradeep Thakurta Gaurav Aggarwal Prateek Jain 38 55 0 23 Nov 2021
Equity and Privacy: More Than Just a Tradeoff David Pujol Ashwin Machanavajjhala 35 15 0 08 Nov 2021
Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FaML 36 20 0 26 Oct 2021