Search Results for author: Maximilian Henzl

Found 2 papers, 1 papers with code

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

no code implementations17 Nov 2023 Tobias Dam, Maximilian Henzl, Lukas Daniel Klausner

Due to the lack of credible data on actual user behaviour, we make reasonable assumptions for various deletion modes and biases and provide insight into the effects of different plausible scenarios for right to erasure usage on data quality of machine learning.

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

1 code implementation9 Feb 2021 Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner, Tobias Dam, Peter Kieseberg, Matthias Zeppelzauer

For use with anonymisation techniques, the $k$-anonymity criterion is one of the most popular, with numerous scientific publications on different algorithms and metrics.

BIG-bench Machine Learning

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