Operationalizing the Legal Principle of Data Minimization for Personalization

28 May 2020

Papers citing "Operationalizing the Legal Principle of Data Minimization for Personalization"

6 / 6 papers shown

Title
Participatory Personalization in Classification Hailey J James Chirag Nagpal Katherine A. Heller Berk Ustun 39 4 0 08 Feb 2023
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application Ramit Sawhney A. Neerkaje Ivan Habernal Lucie Flek 31 3 0 05 Sep 2022
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations Laura Schelenz Ivano Bison Matteo Busso A. D. Gotzen D. Gática-Pérez Fausto Giunchiglia L. Meegahapola Salvador Ruiz Correa 20 26 0 23 Feb 2022
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 21 8 0 19 May 2020
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks Evgeny Frolov Ivan Oseledets 24 21 0 14 Jul 2016
Privacy Against Statistical Inference Flavio du Pin Calmon N. Fawaz FedML 100 345 0 08 Oct 2012