On the Privacy Risks of Algorithmic Fairness

7 November 2020

Papers citing "On the Privacy Risks of Algorithmic Fairness"

50 / 68 papers shown

Title
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing Yezi Liu Prathyush P. Poduval Wenjun Huang Yang Ni Hanning Chen Mohsen Imani MU 35 0 0 14 May 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 45 0 0 10 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 50 0 0 08 Mar 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 78 0 0 28 Jan 2025
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification Ahmad Hassanpour Amir Zarei Khawla Mallat Anderson Santana de Oliveira Bian Yang 77 0 0 16 Dec 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 163 1 0 19 Nov 2024
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI S. Giddens F. Liu 27 0 0 14 Nov 2024
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning Luca Corbucci Mikko A. Heikkilä David Solans Noguero Anna Monreale Nicolas Kourtellis FedML 44 3 0 21 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 30 3 0 23 May 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 28 1 0 15 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 65 8 0 31 Mar 2024
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values Shubham Sharma Sanghamitra Dutta Emanuele Albini Freddy Lecue Daniele Magazzeni Manuela Veloso 32 1 0 13 Mar 2024
Differentially Private Fair Binary Classifications Hrad Ghoukasian S. Asoodeh FaML 32 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 31 1 0 16 Feb 2024
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance Rui-Jie Yew Lucy Qin Suresh Venkatasubramanian 33 3 0 09 Feb 2024
Regulation Games for Trustworthy Machine Learning Mohammad Yaghini Patty Liu Franziska Boenisch Nicolas Papernot FaML 15 2 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 23 5 0 22 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 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 23 5 0 07 Dec 2023
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh Philippe Liu Reza Shokri 47 34 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 27 1 0 27 Nov 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Jakub Marecek 24 3 0 17 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 46 2 0 16 Oct 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 40 20 0 03 Sep 2023
Unlocking Accuracy and Fairness in Differentially Private Image Classification Leonard Berrada Soham De J. Shen Jamie Hayes Robert Stanforth David Stutz Pushmeet Kohli Samuel L. Smith Borja Balle 19 13 0 21 Aug 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models Phillip Rust Anders Søgaard 25 3 0 17 Aug 2023
A Framework for Designing Fair Ubiquitous Computing Systems Han Zhang Leijie Wang Yilun Sheng Xuhai Xu Jennifer Mankoff A. Dey 33 9 0 17 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 38 46 0 14 Aug 2023
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark Jun Niu Xiaoyan Zhu Moxuan Zeng Ge Zhang Qingyang Zhao ... Peng Liu Yulong Shen Xiaohong Jiang Jianfeng Ma Yuqing Zhang 42 3 0 12 Jul 2023
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics Tânia Carvalho Nuno Moniz Luís Antunes 17 2 0 27 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 29 43 0 25 Jun 2023
Trading-off price for data quality to achieve fair online allocation M. Molina Nicolas Gast P. Loiseau Vianney Perchet 19 4 0 23 Jun 2023
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing Matthieu Meeus Florent Guépin Ana-Maria Cretu Yves-Alexandre de Montjoye 52 23 0 17 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 29 1 0 11 Jun 2023
Analysing Fairness of Privacy-Utility Mobility Models Yuting Zhan Hamed Haddadi A. Mashhadi 25 0 0 10 Apr 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar HAI FaML 26 18 0 27 Mar 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 13 8 0 17 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 13 7 0 06 Feb 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks He Zhang Xingliang Yuan Shirui Pan 25 11 0 30 Jan 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 39 35 0 21 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 35 31 0 18 Dec 2022
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 28 2 0 14 Dec 2022
On the Alignment of Group Fairness with Attribute Privacy Jan Aalmoes Vasisht Duddu A. Boutet 36 2 0 18 Nov 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models Mauro Conti Jiaxin Li S. Picek MIALM 30 2 0 28 Oct 2022
Differential Privacy has Bounded Impact on Fairness in Classification Paul Mangold Michaël Perrot A. Bellet Marc Tommasi 18 17 0 28 Oct 2022
The privacy issue of counterfactual explanations: explanation linkage attacks S. Goethals Kenneth Sörensen David Martens 19 28 0 21 Oct 2022
Data Privacy and Trustworthy Machine Learning Martin Strobel Reza Shokri SILM FaML 18 25 0 14 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 32 5 0 12 Sep 2022
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application Ramit Sawhney A. Neerkaje Ivan Habernal Lucie Flek 18 3 0 05 Sep 2022