Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm. - Nicola Franco; Tom Wollschläger; Nicholas Gao; Jeanette Miriam Lorenz; Stephan Günnemann (QCE, 2022)

Quantum-classical convolutional neural networks in radiological image classification. - Andrea Matic; Maureen Monnet; Jeanette Miriam Lorenz; Balthasar Schachtner; Thomas Messerer (QCE, 2022)

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution. - Nicola Franco; Daniel Korth; Jeanette Miriam Lorenz; Karsten Roscher; Stephan Günnemann (AISafety/SafeRL@IJCAI, 2023)

Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices. - Theodora-Augustina Dragan; Maureen Monnet; Christian B. Mendl; Jeanette Miriam Lorenz (ICAART (2), 2023)

Benchmarking the Variational Quantum Eigensolver using different quantum hardware. - Amine Bentellis; Andrea Matic-Flierl; Christian B. Mendl; Jeanette Miriam Lorenz (QCE, 2023)

Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. - Nicola Franco; Tom Wollschläger; Benedikt Poggel; Stephan Günnemann; Jeanette Miriam Lorenz (QCE, 2023)

Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks. - Maureen Monnet; Hanady Gebran; Andrea Matic-Flierl; Florian J. Kiwit; Balthasar Schachtner; Amine Bentellis; Jeanette Miriam Lorenz (QCE, 2023)

Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem. - Lilly Palackal; Benedikt Poggel; Matthias Wulff; Hans Ehm; Jeanette Miriam Lorenz; Christian B. Mendl (QCE, 2023)

Recommending Solution Paths for Solving Optimization Problems with Quantum Computing. - Benedikt Poggel; Nils Quetschlich; Lukas Burgholzer; Robert Wille; Jeanette Miriam Lorenz (QSW, 2023)

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection. - Nicola Franco; Daniel Korth; Jeanette Miriam Lorenz; Karsten Roscher; Stephan Günnemann (CoRR, 2023)

Understanding ReLU Network Robustness Through Test Set Certification Performance. - Nicola Franco; Jeanette Miriam Lorenz; Karsten Roscher; Stephan Günnemann (CVPR Workshops, 2024)

Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments. - Georg Kruse; Theodora-Augustina Dragan; Robert Wille; Jeanette Miriam Lorenz (ICAART (3), 2024)

Hybrid Meta-Solving for Practical Quantum Computing. - Domenik Eichhorn; Maximilian Schweikart; Nick Poser; Frederik Fiand; Benedikt Poggel; Jeanette Miriam Lorenz (QCE, 2024)

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. - Nicola Franco; Marie C. Kempkes; Jakob Spiegelberg; Jeanette Miriam Lorenz (QCE, 2024)

Predominant Aspects on Security for Quantum Machine Learning: Literature Review. - Nicola Franco; Alona Sakhnenko; Leon Stolpmann; Daniel Thuerck; Fabian Petsch; Annika Rüll; Jeanette Miriam Lorenz (QCE, 2024)

Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization. - Georg Kruse; Rodrigo Coelho; Andreas Rosskopf; Robert Wille; Jeanette Miriam Lorenz (QCE, 2024)

Quantum Patch-Based Autoencoder for Anomaly Segmentation. - Maria Francisca Madeira; Alessandro Poggiali; Jeanette Miriam Lorenz (QCE, 2024)

Identifying Bottlenecks of NISQ-Friendly HHL Algorithms. - Marc Andreu Marfany; Alona Sakhnenko; Jeanette Miriam Lorenz (QCE, 2024)

Understanding the Effects of Data Encoding on Quantum-Classical Convolutional Neural Networks. - Maureen Monnet; Nermine Chaabani; Theodora-Augustina Dragan; Balthasar Schachtner; Jeanette Miriam Lorenz (QCE, 2024)

Certifiably Robust Encoding Schemes. - Aman Saxena; Tom Wollschläger; Nicola Franco; Jeanette Miriam Lorenz; Stephan Günnemann (QCE, 2024)

Discrete Randomized Smoothing Meets Quantum Computing. - Tom Wollschläger; Aman Saxena; Nicola Franco; Jeanette Miriam Lorenz; Stephan Günnemann (QCE, 2024)

Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms. - Manuel Schnaus; Lilly Palackal; Benedikt Poggel; Xiomara Runge; Hans Ehm; Jeanette Miriam Lorenz; Christian B. Mendl (QSW, 2024)

A View on Vulnerabilites: The Security Challenges of XAI (Academic Track). - Elisabeth Pachl; Fabian Langer; Thora Markert; Jeanette Miriam Lorenz (SAIA, 2024)

Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing. - Nicola Franco; Jakob Spiegelberg; Jeanette Miriam Lorenz; Stephan Günnemann (UAI, 2024)

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning. - David Winderl; Nicola Franco; Jeanette Miriam Lorenz (CoRR, 2024)

Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization. - Georg Kruse; Rodrigo Coehlo; Andreas Rosskopf; Robert Wille; Jeanette Miriam Lorenz (CoRR, 2024)

Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset. - Alona Sakhnenko; Julian Sikora; Jeanette Miriam Lorenz (CoRR, 2024)

AI-Driven Approaches for Glaucoma Detection - A Comprehensive Review. - Yuki Hagiwara; Octavia-Andreea Ciora; Maureen Monnet; Gino Lancho; Jeanette Miriam Lorenz (CoRR, 2024)

Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK. - Florian J. Kiwit; Maximilian A. Wolf; Marwa Marso; Philipp Ross; Jeanette Miriam Lorenz; Carlos A. Riofrío; André Luckow (Künstliche Intell., 2024)

A hyperparameter study for quantum kernel methods. - Sebastian Egginger; Alona Sakhnenko; Jeanette Miriam Lorenz (Quantum Mach. Intell., 2024)

Quantum neural networks under depolarization noise: exploring white-box attacks and defenses. - David Winderl; Nicola Franco; Jeanette Miriam Lorenz (Quantum Mach. Intell., 2024)

Continuous Quantum Reinforcement Learning for Robot Navigation. - Theodora-Augustina Dragan; Alexander Künzner; Robert Wille; Jeanette Miriam Lorenz (ICAART (1), 2025)

Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks. - Theodora-Augustina Dragan; Akshat Tandon; Tom Haider; Carsten Strobel; Jasper Simon Krauser; Jeanette Miriam Lorenz (ICAART (1), 2025)

Benchmarking Quantum Reinforcement Learning. - Georg Kruse; Rodrigo Coelho; Andreas Rosskopf; Robert Wille; Jeanette Miriam Lorenz (ICAART (1), 2025)

Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models. - Tongyan Wu; Amine Bentellis; Alona Sakhnenko; Jeanette Miriam Lorenz (CoRR, 2025)

Comparing performance of variational quantum algorithm simulations on HPC systems. - Marco De Pascale; Tobias Valentin Bauer; Yaknan John Gambo; Mario Hernández Vera; Stefan Huber; Burak Mete; Amit Jamadagni; Amine Bentellis; Marita Oliv; Luigi Iapichino; Jeanette Miriam Lorenz (CoRR, 2025)