25 citations · 92 across the 25 of their papers we have counts for
30 papers
Robust Optimization for Local Differential Privacy
Jasper Goseling, Milan Lopuhaä-Zwakenberg
We consider the setting of publishing data without leaking sensitive information. We do so in the framework of Robust Local Differential Privacy (RLDP). This ensures privacy for al…
A probabilistic database approach to autoencoder-based data cleaning
R. R. Mauritz, F. P. J. Nijweide, J. Goseling +1
Data quality problems are a large threat in data science. In this paper, we propose a data-cleaning autoencoder capable of near-automatic data quality improvement. It learns the st…
The Privacy-Utility Tradeoff of Robust Local Differential Privacy
Milan Lopuhaä-Zwakenberg, Jasper Goseling
We consider data release protocols for data , where is sensitive; the released data contains as much information about as possible, measured as $\operatorname{…
Dynamic Coded Caching in Wireless Networks
Jesper Pedersen, Alexandre Graell i Amat, Jasper Goseling +3
We consider distributed and dynamic caching of coded content at small base stations (SBSs) in an area served by a macro base station (MBS). Specifically, content is encoded using a…
Distributed Cooperative Caching for VoD with Geographic Constraints
Konstantin Avrachenkov, Jasper Goseling, Berksan Serbetci
We consider caching of video streams in a cellular network in which each base station is equipped with a cache. Video streams are partitioned into multiple substreams and the goal…
Bounds on the bias terms for the Markov reward approach
Xinwei Bai, Jasper Goseling
An important step in the Markov reward approach to error bounds on stationary performance measures of Markov chains is to bound the bias terms. Affine functions have been successfu…