Nicola Franco

According to our database, Nicola Franco authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LipShiFT: A Certifiably Robust Shift-based Vision Transformer.

Rohan Menon, Nicola Franco, Stephan Günnemann

CoRR, March, 2025

2024

Quantum neural networks under depolarization noise: exploring white-box attacks and defenses.

David Winderl, Nicola Franco, Jeanette Miriam Lorenz

Quantum Mach. Intell., December, 2024

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning.

David Winderl, Nicola Franco, Jeanette Miriam Lorenz

CoRR, 2024

Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing.

Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Discrete Randomized Smoothing Meets Quantum Computing.

Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Certifiably Robust Encoding Schemes.

Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis.

Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Understanding ReLU Network Robustness Through Test Set Certification Performance.

Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness.

Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution.

Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann

Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023

2022

Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm.

Nicola Franco, Tom Wollschläger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

2021

Towards a Self-Adaptive Architecture for Federated Learning of Industrial Automation Systems.

Nicola Franco, Hoai My Van, Marc Dreiser, Gereon Weiss

Proceedings of the 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021