Maximilian Henzl

most cited

k

-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers

62 citations · 62 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Delete My Account: Impact of Data Deletion on Machine Learning Classifiers

Tobias Dam, Maximilian Henzl, Lukas Daniel Klausner

Users are more aware than ever of the importance of their own data, thanks to reports about security breaches and leaks of private, often sensitive data in recent years. Additional…

cs.LG2021★ 62 cited

$k$ -Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers

Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner +3

The protection of private information is a crucial issue in data-driven research and business contexts. Typically, techniques like anonymisation or (selective) deletion are introdu…

Delete My Account: Impact of Data Deletion on Machine Learning Classifiers

k-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers

$k$ -Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers