activity
20242026
collaborators

7 papers

cs.DS2026

Lower Bounds for Private Graph Optimization Problems using Reconstruction Attacks

Jacob Imola, Rasmus Pagh, Lukas Retschmeier

This paper studies fundamental graph optimization problems under differential privacy (DP) and shows new, reconstruction-based lower bounds. We consider a graph $G = (V, E, \vec{w}…

cs.CC2025

On the Parameterized Complexity of Semitotal Domination on Graph Classes

Lukas Retschmeier

For a given graph , a subset of the vertices is called a semitotal dominating set, if is a dominating set and every vertex is within distan…

cs.DS2025

Revisiting a Successful Reduction Rule for Dominating Set

Lukas Geis, Alexander Leonhardt, Johannes Meintrup +3

Given a graph with vertices and edges, the DominatingSet problem asks for a set of minimal cardinality such that every vertex either is in …

cs.CR2025

Private Lossless Multiple Release

Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson +1

Koufogiannis et al. (2016) showed a result for Laplace noise-based differentially private mechanisms: given an -DP release, a new release wi…

cs.DS2024

The Correlated Gaussian Sparse Histogram Mechanism

Christian Janos Lebeda, Lukas Retschmeier

We consider the problem of releasing a sparse histogram under -differential privacy. The stability histogram independently adds noise from a Laplace or Gaussian d…

cs.DS2024

Optimal Bounds for Private Minimum Spanning Trees via Input Perturbation

Rasmus Pagh, Lukas Retschmeier, Hao Wu +1

We study the problem of privately releasing an approximate minimum spanning tree (MST). Given a graph where is a set of vertices, is a set of …

cs.DS2024

Faster Private Minimum Spanning Trees

Rasmus Pagh, Lukas Retschmeier

Motivated by applications in clustering and synthetic data generation, we consider the problem of releasing a minimum spanning tree (MST) under edge-weight differential privacy con…