Thesis
Co-supervised: Precomputional Improvement of Supersingular Isogeny Diffie-Hellman
Supervised: Design von Abhörkodes mit Deep Learning
Co-supervised: Optimization of the size of a quantum register for Shor’s algorithm
Co-supervised: Evaluating Privacy of Synthetic Data Through Metrics
Co-supervised: Evaluating and Adapting Existing Neural Network Watermarking Approaches to Online Learning Scenarios
Co-supervised: Attacking Differentially Private CNNs Trained with PATE
Supervised: Abhörkodes für Semantische Sicherheit
Co-supervised: Practical Evaluation of Neural Network Watermarking Approaches
Co-supervised: Influence of Training Parameters and Architectural Choices on the Vulnerability of Neural Networks to Membership Inference Attacks
Co-supervised: Signal Strength Prediction and Visualization in 5G networks
Co-supervised: Gitterbasierte Kryptoanalyse: Die Coppersmith Methode
Co-supervised: Realization Of An eIDAS Validation Service