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Nicola Franco
Nicola Franco
Research Scientist, Fraunhofer Institute for Cognitive Systems IKS
Verified email at iks.fraunhofer.de
Title
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Cited by
Year
Challenges and opportunities in quantum optimization
A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ...
Nature Reviews Physics, 1-18, 2024
89*2024
Towards a self-adaptive architecture for federated learning of industrial automation systems
N Franco, HM Van, M Dreiser, G Weiss
2021 International Symposium on Software Engineering for Adaptive and Self …, 2021
122021
Quantum robustness verification: A hybrid quantum-classical neural network certification algorithm
N Franco, T Wollschläger, N Gao, JM Lorenz, S Günnemann
2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022
112022
A comparative study on solving optimization problems with exponentially fewer qubits
D Winderl, N Franco, JM Lorenz
IEEE Transactions on Quantum Engineering, 2024
62024
Predominant Aspects on Security for Quantum Machine Learning: Literature Review
N Franco, A Sakhnenko, L Stolpmann, D Thuerck, F Petsch, A Rüll, ...
arXiv preprint arXiv:2401.07774, 2024
52024
Quantum neural networks under depolarization noise: Exploring white-box attacks and defenses
D Winderl, N Franco, JM Lorenz
arXiv preprint arXiv:2311.17458, 2023
52023
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness
N Franco, T Wollschläger, B Poggel, S Günnemann, JM Lorenz
2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023
42023
Diffusion denoised smoothing for certified and adversarial robust out-of-distribution detection
N Franco, D Korth, JM Lorenz, K Roscher, S Guennemann
Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety …, 2023
32023
Certifiably Robust Encoding Schemes
A Saxena, T Wollschläger, N Franco, JM Lorenz, S Günnemann
arXiv preprint arXiv:2408.01200, 2024
12024
Discrete Randomized Smoothing Meets Quantum Computing
T Wollschläger, A Saxena, N Franco, JM Lorenz, S Günnemann
arXiv preprint arXiv:2408.00895, 2024
12024
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis
N Franco, M Kempkes, J Spiegelberg, JM Lorenz
arXiv preprint arXiv:2407.18021, 2024
12024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
D Winderl, N Franco, JM Lorenz
arXiv preprint arXiv:2404.16417, 2024
12024
Understanding ReLU Network Robustness Through Test Set Certification Performance
N Franco, JM Lorenz, K Roscher, S Günnemann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
On Quantum Computing for Neural Network Robustness Verification
N Franco, T Wollschläger, N Gao, JM Lorenz, S Günnemann
Workshop on Formal Verification of Machine Learning, ICML 2022, 2022
2022
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing
N Franco, J Spiegelberg, JM Lorenz, S Günnemann
The 40th Conference on Uncertainty in Artificial Intelligence, 0
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