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André Nusser

2 accepted papers

2025

Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning

UAI 2025

Federated Learning (FL) enables collaborative training of machine learning models across distributed clients without sharing raw data, ostensibly preserving data privacy. Nevertheless, recent studies have revealed critical vulnerabilities in FL, showing that a malicious central server can manipulate

Cited by 0SourcePDFScholar
2025

Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves

ICML 2025poster

This paper introduces $k$-Dynamic Time Warping ($k$-DTW), a novel dissimilarity measure for polygonal curves. $k$-DTW has stronger metric properties than Dynamic Time Warping (DTW) and is more robust to outliers than the Fréchet distance, which are the two gold standards of dissimilarity measures fo…

Cited by 0SourcePDFScholar