• Podlesny, N. J., Kayem, A. V. & Meinel, C. (2023). De-anonymising individuals through unique patterns in movement data. Computing Conference 2023 (to Appear). 
   

• Motlagh, F. N., Kayem, A. V. & Meinel, C. (2022). A Multi-agent Model to Support Privacy Preserving Co-owned Image Sharing on Social Media. In L. Barolli, F. Hussain & T. Enokido (eds.), AINA 2022 (pp. 140-151), April, Sydney, Australia: Spinger. ISBN: 978-3-030-99583-6 (DOI: 10.1007%2f978-3-030-99584-3_13)
• Podlesny, N. J., Kayem, A. V. D. M. & Meinel, C. (2022). CoK: A Survey of Privacy Challenges in Relation to Data Meshes. In C. Strauss, A. Cuzzocrea, G. Kotsis, A. M. Tjoa & I. Khalil (eds.), Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part I (p./pp. 85-102), Vienna, Austria: Springer, Cham. ISBN: 978-3-031-12422-8 (DOI: 10.1007/978-3-031-12423-5_7)

• Podlesny, N. J., Kayem, A. & Meinel, C. (2021). A Review of Scaling Genome Sequencing Data Anonymisation. In L. Barolli, I. Woungang & T. Enokido (eds.), Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Toronto, ON, Canada, 12-14 May, 2021, Volume 3 (pp. 491-501), ISBN: 978-3-030-99583-6, Springer. (DOI: 10.1007/978-3-030-75078-7_49)
• Podlesny, N. J., Kayem, A. & Meinel, C. (2021). GPU Accelerated Bayesian Inference for Quasi-Identifier Discovery in High-Dimensional Data. In L. Barolli, I. Woungang & T. Enokido (eds.), Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Toronto, ON, Canada, 12-14 May, 2021, Volume 2 (pp. 495-508),Springer. (DOI: 10.1007/978-3-030-75075-6_40)
• Motlagh, F. N., Kayem, A., Podlesny, N. J. & Meinel, C. (2021). Enabling Co-Owned Image Privacy on Social Media via Agent Negotiation. The 23rd International Conference on Information Integration and Web Intelligence (pp. 152–156), New York, NY, USA: Association for Computing Machinery. ISBN: 9781450395564 (DOI: 10.1145/3487664.3487685)

• Podlesny, N. J., Kayem, A. V. & Meinel, C. (2019). Towards Identifying De-anonymisation Risks in Distributed Health Data Silos. International Conference on Database and Expert Systems Applications (pp. 33--43), . 
• Podlesny, N. J., Kayem, A. V. & Meinel, C. (2019). Identifying Data Exposure Across Distributed High-Dimensional Health Data Silos through Bayesian Networks Optimised by Multigrid and Manifold. 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (pp. 556--563). 
• Podlesny, N. J., Kayem, A. V. & Meinel, C. (2019). Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymization. Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy (pp. 109--119).
• Podlesny, N. J., Kayem, A. V., Meinel, C. & Jungmann, S. (2019). How Data Anonymisation Techniques influence Disease Triage in Digital Health: A Study on Base Rate Neglect. Proceedings of the 9th International Conference on Digital Public Health (pp. 55--62).
• Podlesny, N. J., Kayem, A. V., von Schorlemer, S. & Uflacker, M. (2018). Minimising Information Loss on Anonymised High Dimensional Data with Greedy In-Memory Processing. International Conference on Database and Expert Systems Applications (pp. 85--100). 
• Kayem, A., Vester, C.T., Meinel, C. (2018). Syntactic Anonymisation of Shared Datasets in Resource Constrained Environments. Trans. Large Scale Data Knowl. Centered Syst. 38: 27-60 (DOI: 10.1007/978-3-662-58384-5_2)
• Kayem, A.,  Meinel, C. Wolthusen S.D. (2017). A Smart Micro-Grid Architecture for Resource Constrained Environments. In Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017, Taipei, Taiwan, March 27-29, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-6029-0, AINA 2017: (pp.857-864) (DOI:10.1109/AINA.2017.36) 
• Kayem, A., & Meinel, C. (2017). Clustering Heuristics for Efficient t-closeness Anonymisation. In D. Benslimane, E. Damiani, W. I. Grosky, A. Hameurlain, A. P. Sheth & R. R. Wagner (eds.), Proceedings of the 28th International Conference on Database and Expert Systems Applications (p./pp. 27--34), August, : Springer. ISBN: 978-3-319-64470-7 (DOI:10.1007/978-3-319-64471-4_3)
• Kayem, A., Vester, C. & Meinel, C. (2016). Automated k-Anonymization and l-Diversity for Shared Data Privacy. In S. Hartmann & H. Ma (eds.), In Proceedings, 27th International Conference on Database and Expert Systems Applications, DEXA 2016, Porto, Portugal, September 5-8, 2016, Part I (p./pp. 105--120), : Springer. (DOI: https://doi.org/10.1007%2f978-3-319-44403-1_7)

Full publication list accessible on DBLP.