| 2026 | ACNS | PPMLAuth: Privacy-Preserving and Tamper-Resistant Behavioral Authentication. | David Monschein, Alexander Niedermayer, Oliver P. Waldhorst |
| 2026 | Networking | Measuring Concept Completeness for Explainability in AI-Driven Network Functions. | Alexander Niedermayer, David Monschein, Oliver P. Waldhorst |
| 2024 | IPCCC | HEJet: A Framework for Efficient Machine Learning Inference with Homomorphic Encryption. | David Monschein, Oliver P. Waldhorst |
| 2024 | NSS | Optimizing Privacy-Preserving Continuous Authentication of Mobile Devices. | David Monschein, Oliver P. Waldhorst |
| 2023 | LCN | Secure Plaintext Acquisition of Homomorphically Encrypted Results for Remote Processing. | Pia Baumstark, David Monschein, Oliver P. Waldhorst |
| 2021 | ICSA | Enabling Consistency between Software Artefacts for Software Adaption and Evolution. | David Monschein, Manar Mazkatli, Robert Heinrich, Anne Koziolek |
| 2021 | ISCC | Towards a Peer-to-Peer Federated Machine Learning Environment for Continuous Authentication. | David Monschein, Jos Antonio Peregrina Prez, Tim Piotrowski, Zoltn Nochta, Oliver P. Waldhorst, Christian Zirpins |
| 2021 | LCN | SPCAuth: Scalable and Privacy-Preserving Continuous Authentication for Web Applications. | David Monschein, Oliver P. Waldhorst |
| 2020 | ICSA | Incremental Calibration of Architectural Performance Models with Parametric Dependencies. | Manar Mazkatli, David Monschein, Johannes Grohmann, Anne Koziolek |