| 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 | 64 | 2023 |
| 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 | 11 | 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 | 11 | 2021 |
| 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 | 4 | 2023 |
| 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 | 4 | 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 | 3 | 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 | 2 | 2023 |
| Certifiably Robust Encoding Schemes A Saxena, T Wollschläger, N Franco, JM Lorenz, S Günnemann arXiv preprint arXiv:2408.01200, 2024 | 1 | 2024 |
| Discrete Randomized Smoothing Meets Quantum Computing T Wollschläger, A Saxena, N Franco, JM Lorenz, S Günnemann arXiv preprint arXiv:2408.00895, 2024 | 1 | 2024 |
| 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 | 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 |
| 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 Professor在 iks.fraunhofer.de 的电子邮件经过验证
