| Challenges and opportunities in quantum optimization A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... Nature Reviews Physics, 1-18, 2024 | 130* | 2024 |
| 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 | 16 | 2022 |
| 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 | 12 | 2021 |
| 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 | 7 | 2023 |
| Quantum neural networks under depolarization noise: Exploring white-box attacks and defenses D Winderl, N Franco, JM Lorenz Quantum Machine Intelligence 6 (2), 83, 2024 | 6 | 2024 |
| A comparative study on solving optimization problems with exponentially fewer qubits D Winderl, N Franco, JM Lorenz IEEE Transactions on Quantum Engineering, 2024 | 6 | 2024 |
| 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 | 6 | 2024 |
| 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 | 4 | 2023 |
| Certifiably robust encoding schemes A Saxena, T Wollschläger, N Franco, JM Lorenz, S Günnemann 2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024 | 1 | 2024 |
| Discrete randomized smoothing meets quantum computing T Wollschläger, A Saxena, N Franco, JM Lorenz, S Günnemann 2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024 | 1 | 2024 |
| Quadratic advantage with quantum randomized smoothing applied to time-series analysis N Franco, M Kempkes, J Spiegelberg, JM Lorenz 2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024 | 1 | 2024 |
| Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning D Winderl, N Franco, JM Lorenz arXiv preprint arXiv:2404.16417, 2024 | 1 | 2024 |
| 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 | | |
Jeanette LorenzHead of Department @ Fraunhofer IKS, Munich || Associate ProfessorAdresse e-mail validée de iks.fraunhofer.de
