Nikolai J. Podlesny

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

High Dimensional

Information Loss

Bayesian Inference

Top Venues

Publications

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel
CoK: A Survey of Privacy Challenges in Relation to Data Meshes. DEXA (1) (2022)
Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel
GPU Accelerated Bayesian Inference for Quasi-Identifier Discovery in High-Dimensional Data. AINA (2) (2021)
Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel
A Review of Scaling Genome Sequencing Data Anonymisation. AINA (3) (2021)
Anne V. D. M. Kayem, Nikolai J. Podlesny, Christoph Meinel, Anja Lehmann
On Chameleon Pseudonymisation and Attribute Compartmentation-as-a-Service. SECRYPT (2021)
Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel
A Parallel Quasi-identifier Discovery Scheme for Dependable Data Anonymisation. Trans. Large Scale Data Knowl. Centered Syst. 50 (2021)
Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel
Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization. CODASPY (2019)
Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel
Identifying Data Exposure Across Distributed High-Dimensional Health Data Silos through Bayesian Networks Optimised by Multigrid and Manifold. DASC/PiCom/DataCom/CyberSciTech (2019)
Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel, Sven Jungmann
How Data Anonymisation Techniques influence Disease Triage in Digital Health: A Study on Base Rate Neglect. PDH (2019)
Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel
Towards Identifying De-anonymisation Risks in Distributed Health Data Silos. DEXA (1) (2019)
Nikolai J. Podlesny, Anne V. D. M. Kayem, Stephan von Schorlemer, Matthias Uflacker
Minimising Information Loss on Anonymised High Dimensional Data with Greedy In-Memory Processing. DEXA (1) (2018)