Nicola Franco

20 papers A 1Misc 6Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
LipShiFT: A Certifiably Robust Shift-based Vision Transformer.
CoRR
Rohan Menon, Nicola Franco, Stephan Günnemann
2024 Misc conf
Certifiably Robust Encoding Schemes.
QCE
Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024 J jnl
Certifiably Robust Encoding Schemes.
CoRR
Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024 J jnl
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning.
CoRR
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
2024 Misc conf
Discrete Randomized Smoothing Meets Quantum Computing.
QCE
Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024 J jnl
Discrete Randomized Smoothing Meets Quantum Computing.
CoRR
Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024 A conf
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing.
UAI
Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann
2024 Misc conf
Predominant Aspects on Security for Quantum Machine Learning: Literature Review.
QCE
Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rüll, Jeanette Miriam Lorenz
2024 J jnl
Predominant Aspects on Security for Quantum Machine Learning: Literature Review.
CoRR
Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rüll, Jeanette Miriam Lorenz
2024 Misc conf
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis.
QCE
Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz
2024 J jnl
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis.
CoRR
Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz
2024 J jnl
Quantum neural networks under depolarization noise: exploring white-box attacks and defenses.
Quantum Mach. Intell.
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
2024 — conf
Understanding ReLU Network Robustness Through Test Set Certification Performance.
CVPR Workshops
Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
2023 — conf
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution.
AISafety/SafeRL@IJCAI
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
2023 J jnl
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection.
CoRR
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
2023 Misc conf
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness.
QCE
Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz
2023 J jnl
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness.
CoRR
Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz
2023 J jnl
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses.
CoRR
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
2022 Misc conf
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm.
QCE
Nicola Franco, Tom Wollschläger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Günnemann
2021 — conf
Towards a Self-Adaptive Architecture for Federated Learning of Industrial Automation Systems.
SEAMS@ICSE
Nicola Franco, Hoai My Van, Marc Dreiser, Gereon Weiss