4 papers
Sequential Auditing for f-Differential Privacy
Tim Kutta, Martin Dunsche, Yu Wei +1
We present new auditors to assess Differential Privacy (DP) of an algorithm based on output samples. Such empirical auditors are common to check for algorithmic correctness and imp…
Differentially private testing for relevant dependencies in high dimensions
Patrick Bastian, Holger Dette, Martin Dunsche
We investigate the problem of detecting dependencies between the components of a high-dimensional vector. Our approach advances the existing literature in two important respects. F…
General-Purpose -DP Estimation and Auditing in a Black-Box Setting
Ãnder Askin, Holger Dette, Martin Dunsche +4
In this paper we propose new methods to statistically assess -Differential Privacy (-DP), a recent refinement of differential privacy (DP) that remedies certain weaknesses of…
SILENT: A New Lens on Statistics in Software Timing Side Channels
Martin Dunsche, Patrick Bastian, Marcel Maehren +5
Cryptographic research takes software timing side channels seriously. Approaches to mitigate them include constant-time coding and techniques to enforce such practices. However, re…