| Management of Machine Learning Lifecycle Artifacts: A Survey M Schlegel, KU Sattler ACM SIGMOD Record 51 (4), 2022 | 54 | 2022 |
| Beyond Administration: A Modeling Scheme Supporting the Dynamic Analysis of Role-based Access Control Policies M Schlegel, P Amthor 17th International Conference on Security and Cryptography (SECRYPT 2020 …, 2020 | 9 | 2020 |
| Extracting Provenance of Machine Learning Experiment Pipeline Artifacts M Schlegel, KU Sattler 27th European Conference on Advances in Databases and Information Systems …, 2023 | 8 | 2023 |
| MLflow2PROV: Extracting Provenance from Machine Learning Experiments M Schlegel, KU Sattler 7th Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD …, 2023 | 8 | 2023 |
| Towards Language Support for Model-based Security Policy Engineering P Amthor, M Schlegel 17th International Conference on Security and Cryptography (SECRYPT 2020 …, 2020 | 7 | 2020 |
| The Missing Piece of the ABAC Puzzle: A Modeling Scheme for Dynamic Analysis M Schlegel, P Amthor 18th International Conference on Security and Cryptography (SECRYPT 2021 …, 2021 | 6 | 2021 |
| Trusted Enforcement of Application-specific Security Policies M Schlegel 18th International Conference on Security and Cryptography (SECRYPT 2021 …, 2021 | 6 | 2021 |
| Trusted Enforcement of Application-specific Security Policies M Schlegel arXiv:2105.01970, 2021 | 6 | 2021 |
| Putting the Pieces Together: Model-Based Engineering Workflows for Attribute-Based Access Control Policies M Schlegel, P Amthor Revised Selected Papers of SECRYPT 2021, CCIS 1795, 249–280, 2023 | 4 | 2023 |
| Poster: Shielding AppSPEAR-Enhancing Memory Safety for Trusted Application-level Security Policy Enforcement M Schlegel 26th ACM Symposium on Access Control Models and Technologies (SACMAT 2021 …, 2021 | 4 | 2021 |
| Exploiting Hot Spots in Heuristic Safety Analysis of Dynamic Access Control Models M Schlegel, WE Kühnhauser 17th International Conference on Security and Cryptography (SECRYPT 2020 …, 2020 | 4 | 2020 |
| Cornucopia: Tool Support for Selecting Machine Learning Lifecycle Artifact Management Systems M Schlegel, KU Sattler 18th International Conference on Web Information Systems and Technologies …, 2022 | 1 | 2022 |
| Analyse und Simulation dynamischer RBAC-Zugriffssteuerungsmodelle M Schlegel D·A·CH Security 2015, 110–121, 2015 | 1 | 2015 |
| Collaboration Management for Federated Learning M Schlegel, D Scheliga, KU Sattler, M Seeland, P Mäder 3rd International Workshop on Data Platform Design, Management, and …, 2024 | | 2024 |
| Everything Everyway All at Once – Time Traveling Debugging for Stream Processing Applications T Räth, M Schlegel, KU Sattler 40th IEEE International Conference on Data Engineering (ICDE 2024), 1606–1618, 2024 | | 2024 |
| Trusted Implementation and Enforcement of Application Security Policies M Schlegel Revised Selected Papers of SECRYPT 2021, CCIS 1795, 362–388, 2023 | | 2023 |
| Management of Machine Learning Lifecycle Artifacts: A Survey M Schlegel, KU Sattler arXiv:2210.11831, 2022 | | 2022 |
| Risikobasierte Metapolitiken für spontane Kooperationen M Schlegel D·A·CH Security 2016, 188–201, 2016 | | 2016 |
| Simulationsbasierte Evaluierung eines zeit- und ortsbasierten Pseudonym-Wechsel-Verfahrens für ETSI ITS: Dezentraler Ansatz zur Verbesserung der Privatsphäre von Fahrern S Bittl, M Schlegel, K Roscher 31. VDI/VW-Gemeinschaftstagung Automotive Security, 137–146, 2015 | | 2015 |
