On the Alignment of Group Fairness with Attribute Privacy

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On the Alignment of Group Fairness with Attribute Privacy

18 November 2022

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Papers citing "On the Alignment of Group Fairness with Attribute Privacy"

16 / 16 papers shown

Title
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 111 2 0 07 Dec 2023
Are Attribute Inference Attacks Just Imputation? Bargav Jayaraman David Evans TDI MIACV 74 49 0 02 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala AAML 57 14 0 02 Sep 2022
Inferring Sensitive Attributes from Model Explanations Vasisht Duddu A. Boutet MIACV SILM 70 17 0 21 Aug 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai Chen Dan Zico Kolter Pradeep Ravikumar OOD 59 28 0 28 Jan 2022
A Fairness Analysis on Private Aggregation of Teacher Ensembles Cuong Tran M. H. Dinh Kyle Beiter Ferdinando Fioretto 52 12 0 17 Sep 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 64 42 0 25 May 2021
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy Kit T. Rodolfa Hemank Lamba Rayid Ghani 77 91 0 05 Dec 2020
On the Privacy Risks of Algorithmic Fairness Hong Chang Reza Shokri FaML 186 112 0 07 Nov 2020
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 62 85 0 18 May 2020
Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan Vitaly Shmatikov 149 481 0 28 May 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 42 151 0 28 May 2019
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 227 1,101 0 06 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 379 684 0 17 Feb 2018
Controllable Invariance through Adversarial Feature Learning Qizhe Xie Zihang Dai Yulun Du Eduard H. Hovy Graham Neubig OOD 94 292 0 31 May 2017
Learning to Pivot with Adversarial Networks Gilles Louppe Michael Kagan Kyle Cranmer 63 227 0 03 Nov 2016

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