| 2026 | SAFECOMP | Five Measures to Counter Obscure Hazardous Failure Conditions in Foundation Model Systems: A Practical Guide for Safety Engineers. | Florian Geissler, Josef Jiru, Johanna Schmidhuber, Poulami Sinhamahapatra, Florian Butsch, Reinhard Stolle |
| 2023 | BMVC | BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. | Syed Sha Qutub, Neslihan Kse Cihangir, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois C. Knoll |
| 2023 | DSN | Large-Scale Application of Fault Injection into PyTorch Models -an Extension to PyTorchFI for Validation Efficiency. | Ralf Grfe, Syed Sha Qutub, Florian Geissler, Michael Paulitsch |
| 2023 | SC | Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. | Ali Asgari Khoshouyeh, Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Prashant J. Nair, Karthik Pattabiraman |
| 2023 | SAFECOMP | A Low-Cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks. | Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman |
| 2022 | SAFECOMP | Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs. | Syed Sha Qutub, Florian Geissler, Yang Peng, Ralf Grfe, Michael Paulitsch, Gereon Hinz, Alois C. Knoll |
| 2021 | IJCAI | Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision. | Florian Geissler, Syed Sha Qutub, Sayanta Roychowdhury, Ali Asgari Khoshouyeh, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch |