2023
Pia Baumstark, David Monschein and Oliver Waldhorst:
“Secure Plaintext Acquisition of Homomorphically Encrypted Results for Remote Processing”, In Proc. IEEE 48th Conference on Local Computer Networks (LCN), Los Alamitos, CA, USA, 2023
Sascha Schramm:
“Simple example of unobserved confounders and language models” GitHub, 2023. [Online]. Available: https://github.com/saschaschramm/unobserved-confounders [Accessed: May 4, 2023].
Sascha Schramm:
“Researching the reinforcement learning algorithm of ChatGPT” GitHub, 2023. [Online]. Available: https://github.com/saschaschramm/tiny-chatgpt [Accessed: May 4, 2023]
Kopmann, S., Heseding, H. & Zitterbart M.
“Toward Joining DDoS Mitigation and Image Segmentation”, Datenschutz Datensich 47, 475–477 (2023). https://doi.org/10.1007/s11623-023-1801-1
S. Kopmann and M. Zitterbart
“eMinD: Efficient and Micro-Flow Independent Detection of Distributed Network Attacks,” 2023 14th International Conference on Network of the Future (NoF), Izmir, Turkiye, 2023, pp. 159-167, doi: 10.1109/NoF58724.2023.10302763.
2022
Samuel Kopmann, Hauke Heseding, and Martina Zitterbart
“MIDA: Micro-flow Independent Detection of DDoS Attacks with CNNs”, , Un C. Zirpins, G. Ortiz, Z. Nochta, O. Waldhorst, J. Soldani, M. Villari, and D. Tamburri (Eds.), Advances in Service-Oriented and Cloud Computing, 32–43, Springer Nature Switzerland, Cham, 2022.
Tim Piotrowski and Zoltan Nochta:
“Towards a Secure Peer-to-Peer Federated Learning Framework”, Un C. Zirpins, G. Ortiz, Z. Nochta, O. Waldhorst, J. Soldani, M. Villari, and D. Tamburri (Eds.), Advances in Service-Oriented and Cloud Computing, 19–31, Springer Nature Switzerland, Cham, 2022.
José Peregrina Pérez, Guadalupe Ortiz, and Christian Zirpins:
“Towards Data Governance for Federated Machine Learning”, In C. Zirpins, G. Ortiz, Z. Nochta, O. Waldhorst, J. Soldani, M. Villari, and D. Tamburri (Eds.), Advances in Service-Oriented and Cloud Computing, 59–71, Springer Nature Switzerland, Cham, 2022.
José Peregrina Pérez, Guadalupe Ortiz, and Christian Zirpins:
“Towards a Metadata Management System for Provenance, Reproducibility and Accountability in Federated Machine Learning”, In C. Zirpins, G. Ortiz, Z. Nochta, O. Waldhorst, J. Soldani, M. Villari, and D. Tamburri (Eds.), Advances in Service-Oriented and Cloud Computing, 5–18, Springer Nature Switzerland, Cham, 2022.
C. Zirpins, G. Ortiz, Z. Nochta, O. Waldhorst, J. Soldani, M. Villari, D. Tamburri:
“Advances in Service-Oriented and Cloud Computing”, International Workshops of ESOCC 2022; Revised Selected Papers. International Workshop on AI for Web Application Infrastructure and Cloud Platform Security (AWACS 2022) (Wittenberg, Germany, 2022), Cham: Springer 2023 (Communications in Computer and Information Science 1617), X, 117 S.- ISBN 978-3-031-23297-8
David Monschein and Oliver P. Waldhorst:
“mPSAuth: Privacy-Preserving and Scalable Authentication for Mobile Web Applications”, In https://arxiv.org/abs/2210.04777, 2022.
Samuel Kopmann, Hauke Heseding, and Martina Zitterbart
“HollywooDDoS: Detecting Volumetric Attacks in Moving Images of Network Traffic”, In Proc. 47th IEEE Conf. on Local Computer Networks (LCN), 90–97, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LCN53696.2022.9843465
Sascha Schramm:
“Analysis of OpenAI’s ChatGPT” GitHub, 2022. [Online]. Available: https://github.com/saschaschramm/chatgpt [Accessed: May 4, 2023[.
2021
José Peregrina Pérez, Guadalupe Ortiz, Christian Zirpins:
“Towards Data Governance for Federated Machine Learning in Secure Web-based Systems.” In: Ortiz Bellot G, Medina Bulo I (Hrsg.): Actas de las Jornadas de Investigación Predoctoral en Ingeniería Informática = Proceedings of the Doctoral Consortium in Computer Science (JIPII 2021). Doctoral Consortium in Computer Science = Jornadas de Investigación Predoctoral en Ingeniería Informática (JIPII2021) (Cádiz, Spain, 15.06.2021), Cádiz: Repositorio Institucional UCA 2021, pp. 36-39
David Monschein and Oliver P. Waldhorst:
“SPCAuth: Scalable and Privacy-Preserving Continuous Authentication for Web Applications.”, In Proc. 46th IEEE Conf. on Local Computer Networks (LCN), Virt. Conf., 2021.
Timo Klimmeck:
“Fix a bug in Yggdrasil Decision Forests”, GitHub, 2021. [Online]. Available: https://github.com/google/yggdrasil-decision-forests/issues/13 [Accessed: May 4, 2023].
Sascha Schramm:
“A tiny Python implementation of the XGBoost C++ library” GitHub, 2021. [Online]. Available: https://github.com/kiwi-src/tiny-xgboost [Accessed: May 4, 2023].
David Monschein, José Antonio Peregrina Pérez, Tim Piotrowski, Zoltán Nochta, Oliver P. Waldhorst, and Christian Zirpins:
“Towards a Peer-to-Peer Federated Machine Learning Environment for Continuous Authentication.” In Proc. 1st IEEE Int. Workshop on Distributed and Intelligent Systems (DistInSys), co-located with 26th IEEE Symp. on Computers and Communications (ISCC), Athens, Greece, 2021.
David Monschein and Oliver P. Waldhorst:
“Privacy-Preserving and Scalable Authentication based on Network Connection Traces.” In Proc. GI/ITG Conf. on Networked Systems (NetSys), Virt. Conf., September 2021.
Alexandra Dirksen, David Klein, Robert Michael, Tilman Stehr, Konrad Rieck and Martin Johns:
“LogPicker: Strengthening Certificate Transparency Against Covert Adversaries.”, Proceedings on Privacy Enhancing Technologies (PETS’21).
Tobias Wink and Zoltán Nochta:
“An Approach for Peer-to-Peer Federated Learning,” 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2021, pp. 150-157, doi: 10.1109/DSN-W52860.2021.00034.
David Monschein, José Antonio Peregrina Pérez, Tim Piotrowski, Zoltán Nochta, Oliver P. Waldhorst and Christian Zirpins:
“KIWI: Artificial Intelligence in Secure Web Infrastructures”, Forschung aktuell 2021, Hochschule Karlsruhe, p. 40-43.
Sascha Schramm:
“Fix a bug that prevented reloading of MLflow Models based on the TensorFlow SavedModel format, PR #4223, PR #4319”, GitHub, 2021. [Online]. Available: https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md#1180-2021-06-18 [Accessed: May 4, 2023].