| 2025 | QCE | Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning. | David Winderl, Nicola Franco, Jeanette Miriam Lorenz |
| 2024 | CVPR | Understanding ReLU Network Robustness Through Test Set Certification Performance. | Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Gnnemann |
| 2024 | QCE | Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. | Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz |
| 2024 | QCE | Predominant Aspects on Security for Quantum Machine Learning: Literature Review. | Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rll, Jeanette Miriam Lorenz |
| 2024 | QCE | Certifiably Robust Encoding Schemes. | Aman Saxena, Tom Wollschlger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2024 | QCE | Discrete Randomized Smoothing Meets Quantum Computing. | Tom Wollschlger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2024 | UAI | Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing. | Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2023 | QCE | Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. | Nicola Franco, Tom Wollschlger, Benedikt Poggel, Stephan Gnnemann, Jeanette Miriam Lorenz |
| 2022 | QCE | Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm. | Nicola Franco, Tom Wollschlger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2021 | SEAMS | Towards a Self-Adaptive Architecture for Federated Learning of Industrial Automation Systems. | Nicola Franco, Hoai My Van, Marc Dreiser, Gereon Weiss |