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stat.ML2026
Empirical Auditing of Edge-Private Graph Generators
Anum Fatima, Stratis Limnios, James Adams +4
We empirically audit privacy leakage by testing whether outputs from edge-neighbouring inputs remain distinguishable, using statistically valid lower bounds on the privacy loss wit…
cs.LG2026
TASER: Task-Aware Stein Regularisation for Geometry-Driven Smoothness
Michał Kozyra, Gesine Reinert
Deep neural networks remain sensitive to distribution shifts, motivating regularisation informed by data geometry. We introduce TASER (Task-Aware Stein Regularisation), a compact t…
cs.LG2026
A Universal Nearest-Neighbor Estimator for Intrinsic Dimensionality
Eng-Jon Ong, Omer Bobrowski, Gesine Reinert +1
Estimating the intrinsic dimensionality (ID) of data is a fundamental problem in machine learning and computer vision, providing insight into the true degrees of freedom underlying…