Author

Rasmus Pagh

h-index 4 View on Semantic Scholar

We have 2 of 16 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Jul 2026

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy

The dithered Gaussian mechanism is presented, an alternative to the discrete Gaussian mechanism for differential privacy that discretizes the private output rather than the noise distribution itself, and it is shown that cryptographically secure noise generation with reduced exposure to floating-point vulnerabilities c...

Nikita P. Kalinin, Rasmus Pagh · arXiv.org · 1 citation

Preprint Sep 2026

Lower Bounds for Private Graph Optimization Problems using Reconstruction Attacks

This paper studies fundamental graph optimization problems under differential privacy (DP) and shows new, reconstruction-based lower bounds. We consider a graph $G = (V, E, \vec{w})$ where the vertex set $V$ and edges $E$ are public and the weights $\mathbf{w}:E\rightarrow \mathbb{R}$ must be kept differentially privat...

Jacob Imola, Rasmus Pagh, Lukas Retschmeier · 1 citation