Nikolai Podlesny

According to our database, Nikolai Podlesny authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Quasi-identifier discovery to prevent privacy violating inferences in large high dimensional datasets.

Nikolai Jannik Podlesny

PhD thesis, 2023

2022

CoK: A Survey of Privacy Challenges in Relation to Data Meshes.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel

Proceedings of the Database and Expert Systems Applications, 2022

2021

A Parallel Quasi-identifier Discovery Scheme for Dependable Data Anonymisation.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel

Trans. Large Scale Data Knowl. Centered Syst., 2021

On Chameleon Pseudonymisation and Attribute Compartmentation-as-a-Service.

Anne V. D. M. Kayem, Nikolai J. Podlesny, Christoph Meinel

Proceedings of the 18th International Conference on Security and Cryptography, 2021

Enabling Co-owned Image Privacy on Social Media via Agent Negotiation.

Farzad Nourmohammadzadeh Motlagh, Anne Kayem, Nikolai Jannik Podlesny, Christoph Meinel

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

GPU Accelerated Bayesian Inference for Quasi-Identifier Discovery in High-Dimensional Data.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel

Proceedings of the Advanced Information Networking and Applications, 2021

A Review of Scaling Genome Sequencing Data Anonymisation.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel

Proceedings of the Advanced Information Networking and Applications, 2021

2019

How Data Anonymisation Techniques influence Disease Triage in Digital Health: A Study on Base Rate Neglect.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel, Sven Jungmann

Proceedings of the 9th International Conference on Digital Public Health, 2019

Towards Identifying De-anonymisation Risks in Distributed Health Data Silos.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel

Proceedings of the Database and Expert Systems Applications, 2019

Identifying Data Exposure Across Distributed High-Dimensional Health Data Silos through Bayesian Networks Optimised by Multigrid and Manifold.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel

Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy, 2019

2018

Minimising Information Loss on Anonymised High Dimensional Data with Greedy In-Memory Processing.

Nikolai J. Podlesny, Anne V. D. M. Kayem, Stephan von Schorlemer, Matthias Uflacker

Proceedings of the Database and Expert Systems Applications, 2018

2017

Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform.

Martin Boissier, Rainer Schlosser, Nikolai Podlesny, Sebastian Serth, Marvin Bornstein, Johanna Latt, Jan Lindemann, Jan Selke, Matthias Uflacker

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces.

Sebastian Serth, Nikolai Podlesny, Marvin Bornstein, Jan Lindemann, Johanna Latt, Jan Selke, Rainer Schlosser, Martin Boissier, Matthias Uflacker

Proceedings of the 21st IEEE International Enterprise Distributed Object Computing Conference, 2017

2015

Production Case Management: A Prototypical Process Engine to Execute Flexible Business Processes.

Stephan Haarmann, Nikolai Podlesny, Marcin Hewelt, Andreas Meyer, Mathias Weske

Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), 2015