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-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers
9 February 2021
D. Slijepcevic
Maximilian Henzl
Lukas Daniel Klausner
Tobias Dam
Peter Kieseberg
Matthias Zeppelzauer
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Papers citing
"$k$-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers"
3 / 3 papers shown
Title
Multi-Objective Optimization-Based Anonymization of Structured Data for Machine Learning Application
Yusi Wei
Hande Y. Benson
Joseph K. Agor
Muge Capan
62
0
0
02 Jan 2025
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning)
J. Domingo-Ferrer
David Sánchez
Alberto Blanco-Justicia
79
108
0
04 Nov 2020
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
807
38,961
0
09 Mar 2016
1