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ORCIDNikolai Podlesny
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- affiliation: Hasso Plattner Institute, University of Potsdam, Germany
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2020 – today
- 2023
[b1]Nikolai Jannik Podlesny:
Quasi-identifier discovery to prevent privacy violating inferences in large high dimensional datasets. University of Potsdam, Germany, 2023- 2022
- [c13]Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel:
CoK: A Survey of Privacy Challenges in Relation to Data Meshes. DEXA (1) 2022: 85-102 - 2021
- [j1]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: 1-24 (2021) - [c12]Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel:
A Review of Scaling Genome Sequencing Data Anonymisation. AINA (3) 2021: 491-501 - [c11]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: 495-508 - [c10]Farzad Nourmohammadzadeh Motlagh, Anne Kayem, Nikolai Jannik Podlesny, Christoph Meinel:
Enabling Co-owned Image Privacy on Social Media via Agent Negotiation. iiWAS 2021: 152-156 - [c9]Anne V. D. M. Kayem, Nikolai J. Podlesny, Christoph Meinel:
On Chameleon Pseudonymisation and Attribute Compartmentation-as-a-Service. SECRYPT 2021: 704-714
2010 – 2019
- 2019
- [c8]Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel:
Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization. CODASPY 2019: 109-119 - [c7]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: 556-563 - [c6]Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel:
Towards Identifying De-anonymisation Risks in Distributed Health Data Silos. DEXA (1) 2019: 33-43 - [c5]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: 55-62 - 2018
- [c4]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: 85-100 - 2017
- [c3]Sebastian Serth, Nikolai Podlesny, Marvin Bornstein, Jan Lindemann, Johanna Latt, Jan Selke, Rainer Schlosser, Martin Boissier, Matthias Uflacker:
An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces. EDOC 2017: 61-66 - [c2]Martin Boissier, Rainer Schlosser, Nikolai Podlesny, Sebastian Serth, Marvin Bornstein, Johanna Latt, Jan Lindemann, Jan Selke, Matthias Uflacker:
Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform. RecSys 2017: 355-357 - 2015
- [c1]Stephan Haarmann, Nikolai Podlesny, Marcin Hewelt, Andreas Meyer, Mathias Weske:
Production Case Management: A Prototypical Process Engine to Execute Flexible Business Processes. BPM (Demos) 2015: 110-114
Coauthor Index
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