I Prefer not to Say: Protecting User Consent in Models with Optional
Personal Data

I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data

25 October 2022

Martin Pawelczyk

Christian Thomas Eberle

Gjergji Kasneci

Papers citing "I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data"

5 / 5 papers shown

Title
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 126 45 0 12 Jul 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence Peizhao Li Hongfu Liu TDI 25 45 0 01 Feb 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
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 49 33 0 21 Sep 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016