| Quantum optimization: Potential, challenges, and the path forward A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... arXiv preprint arXiv:2312.02279, 2023 | 20 | 2023 |
| 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 | 10 | 2021 |
| 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 | 7 | 2022 |
| A comparative study on solving optimization problems with exponentially fewer qubits D Winderl, N Franco, JM Lorenz IEEE Transactions on Quantum Engineering, 2024 | 4 | 2024 |
| Quantum neural networks under depolarization noise: Exploring white-box attacks and defenses D Winderl, N Franco, JM Lorenz arXiv preprint arXiv:2311.17458, 2023 | 3 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2024 |
| 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 | 1 | 2023 |
| Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning D Winderl, N Franco, JM Lorenz arXiv preprint arXiv:2404.16417, 2024 | | 2024 |
| Understanding ReLU Network Robustness Through Test Set Certification Performance N Franco, JM Lorenz, K Roscher, S Günnemann | | 2022 |
| On Quantum Computing for Neural Network Robustness Verification N Franco, T Wollschläger, N Gao, JM Lorenz, S Günnemann 1st Workshop on Formal Verification of Machine Learning, 2022 | | 2022 |
Jeanette LorenzActing Head of Business Unit & Head of Department @ Fraunhofer IKS, Munich || Associate ProfessorBestätigte E-Mail-Adresse bei iks.fraunhofer.de
