Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks

4 February 2022

Papers citing "Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks"

4 / 4 papers shown

Title
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala AAML 29 14 0 02 Sep 2022
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 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
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018