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Nicola Franco
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2020 – today
- 2024
- [j1]David Winderl, Nicola Franco, Jeanette Miriam Lorenz:
Quantum neural networks under depolarization noise: exploring white-box attacks and defenses. Quantum Mach. Intell. 6(2): 83 (2024) - [c5]Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann:
Understanding ReLU Network Robustness Through Test Set Certification Performance. CVPR Workshops 2024: 3451-3460 - [i8]Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rüll, Jeanette Miriam Lorenz:
Predominant Aspects on Security for Quantum Machine Learning: Literature Review. CoRR abs/2401.07774 (2024) - [i7]David Winderl, Nicola Franco, Jeanette Miriam Lorenz:
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning. CoRR abs/2404.16417 (2024) - [i6]Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz:
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. CoRR abs/2407.18021 (2024) - [i5]Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann:
Discrete Randomized Smoothing Meets Quantum Computing. CoRR abs/2408.00895 (2024) - [i4]Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann:
Certifiably Robust Encoding Schemes. CoRR abs/2408.01200 (2024) - 2023
- [c4]Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann:
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution. AISafety/SafeRL@IJCAI 2023 - [c3]Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz:
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. QCE 2023: 524-534 - [i3]Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann:
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection. CoRR abs/2303.14961 (2023) - [i2]Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz:
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. CoRR abs/2305.00472 (2023) - [i1]David Winderl, Nicola Franco, Jeanette Miriam Lorenz:
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses. CoRR abs/2311.17458 (2023) - 2022
- [c2]Nicola Franco, Tom Wollschläger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Günnemann:
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm. QCE 2022: 142-153 - 2021
- [c1]Nicola Franco, Hoai My Van, Marc Dreiser, Gereon Weiss:
Towards a Self-Adaptive Architecture for Federated Learning of Industrial Automation Systems. SEAMS@ICSE 2021: 210-216
Coauthor Index
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