Towards a Self-Adaptive Architecture for Federated Learning of Industrial Automation Systems. - Nicola Franco; Hoai My Van; Marc Dreiser; Gereon Weiss (SEAMS@ICSE, 2021)

Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm. - Nicola Franco; Tom Wollschläger; Nicholas Gao; Jeanette Miriam Lorenz; Stephan Günnemann (QCE, 2022)

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution. - Nicola Franco; Daniel Korth; Jeanette Miriam Lorenz; Karsten Roscher; Stephan Günnemann (AISafety/SafeRL@IJCAI, 2023)

Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. - Nicola Franco; Tom Wollschläger; Benedikt Poggel; Stephan Günnemann; Jeanette Miriam Lorenz (QCE, 2023)

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection. - Nicola Franco; Daniel Korth; Jeanette Miriam Lorenz; Karsten Roscher; Stephan Günnemann (CoRR, 2023)

Understanding ReLU Network Robustness Through Test Set Certification Performance. - Nicola Franco; Jeanette Miriam Lorenz; Karsten Roscher; Stephan Günnemann (CVPR Workshops, 2024)

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. - Nicola Franco; Marie C. Kempkes; Jakob Spiegelberg; Jeanette Miriam Lorenz (QCE, 2024)

Predominant Aspects on Security for Quantum Machine Learning: Literature Review. - Nicola Franco; Alona Sakhnenko; Leon Stolpmann; Daniel Thuerck; Fabian Petsch; Annika Rüll; Jeanette Miriam Lorenz (QCE, 2024)

Certifiably Robust Encoding Schemes. - Aman Saxena; Tom Wollschläger; Nicola Franco; Jeanette Miriam Lorenz; Stephan Günnemann (QCE, 2024)

Discrete Randomized Smoothing Meets Quantum Computing. - Tom Wollschläger; Aman Saxena; Nicola Franco; Jeanette Miriam Lorenz; Stephan Günnemann (QCE, 2024)

Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing. - Nicola Franco; Jakob Spiegelberg; Jeanette Miriam Lorenz; Stephan Günnemann (UAI, 2024)

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning. - David Winderl; Nicola Franco; Jeanette Miriam Lorenz (CoRR, 2024)

Quantum neural networks under depolarization noise: exploring white-box attacks and defenses. - David Winderl; Nicola Franco; Jeanette Miriam Lorenz (Quantum Mach. Intell., 2024)

LipShiFT: A Certifiably Robust Shift-based Vision Transformer. - Rohan Menon; Nicola Franco; Stephan Günnemann (CoRR, 2025)