Thesis
Co-supervised or Supervised:
2025 (in bold: to be proposed for most excellent master thesis in my group)
Emil Auerbach, Evaluating the Effectiveness of Artificial Intelligence in Identifying Vulnerabilities and Generating Creative Resilience Strategies for Critical Infrastructures Using OSINT, FU Berlin 2025
Moritz Leon Tomann, Benchmarking the Impact of Watermarked LLMs on Text Quality, FU Berlin 2025
Max Ehrlicher-Schmidt, Training an Explainable LLM-Based Text Classifier on Labeled Datasets via Clue Extraction, FU Berlin 2025
Amer Poljac, Monolinguale vs. Multilinguale LLM in der automatischen Hate-Speech Erkennung, FU Berlin 2025
Sam Khalil, Exploring the Foundations of RAG Efficiency: LLMs, Prompts, and Index Algorithms, FU Berlin 2025
Long Yang Paffrath, Design and Implementation of a RADIUS over TLS Proxy with Automated Certificate Management via ACME, FU Berlin 2025
Omar Hussein, Die Rolle des Prompt-Engineering bei der Minimierung von Halluzinationen in Sprachmodellen, FU Berlin 2025
Leiss Abdal Al, Vergleich maschineller Lernmethoden für Malware Detection - Klassische Machine Learning und DeepLearning Methoden, FU Berlin 2025
Lucie Marie Prokopy, An Evaluation of Gradient-like Explanation under a Black-box setting and comparison to Explainable AI methods in Natural Language Processing, FU Berlin 2025
Sofiia Rabinovich, Heuristic evaluation of an Enterprise-Resource-Planning (ERP) system and usability testing of an improved prototype, FU Berlin 2025
Eren Jiyan Kocadag, Eine empirische Bewertung des Einflusses einzelner Datenpunkte im Differentially Private Stochastic Gradient Descent, FU Berlin 2025
Valentin Pickel, An Investigation of the Complexity of an Adiabatic Quantum Algorithm for Computing Two-Color Ramsey Numbers, FU Berlin 2025
2024
Benjamin Günther, Efficient Applications of Weak Fourier Sampling to the Hidden Subgroup Problem, FU Berlin 2024
Malte Kaspar Andersch, Adaptation of the HHL Algorithm for Black Box Unitary Operator Inversion, FU Berlin 2024
Johannes Hartmann, Analyse des Cyber Resilience Act zum Ausbau eines Schwachstellenmanagementprogramms, FU Berlin 2024
Weihang Li, Enhancing Reflective Writing Classification through Local Fine-Tuning of Large Language Models, FU Berlin 2025
Jonas Schäfer, Robustness of Detection Method Against Adversarial Attacks in LLM-Generated English Text, FU Berlin 2024
Niklas Pauli, Studie über experimentelle Deep Learning Ansätze für UWB RF-Fingerprinting, FU Berlin 2024
Linus Buddrus, Preemptively pruning CH strategies by additively removing contribution of unverified neurons, FU Berlin 2024
Manuel Vinzenz Welte, Preemptively Removing Clever-Hans Strategies of Neural Network Models by Pruning Activations in a learned relevant Subspace, FU Berlin 2024
Rabea Mrosek, The Hidden Subgroup Problem, FU Berlin 2024
Peiran Li, GranuGAN: Data Augmentation for Granular Hate Speech Detection via Generative Adversarial Networks, FU Berlin 2024
Nadine Knapp, undisclosed
2023
François-Nima Thobae, Selbstvalidierung mithilfe biometrischer Daten eines Eyetrackers am Beispiel der Erkennung von Deepfakeangriffen, FU Berlin 2023
Brendan Gerrit Laschke, Cryptographic Properties of Anonymous Credential Systems, FU Berlin 2023
Wiktoria Krawczyk, Implementing a simple deep learning neural network in C++ for federate learning for RIOT, FU Berlin 2023
Vishal Kumar Singh, Anomaly Detection using Spatio-Temporal Dynamic Graph Neural Networks, FU Berlin 2023
Michael Peter Hoffmann, Multilingual Hate Speech Detection on Social Media: Applying Transfer Learning Methods to Classify German, Italian and Spanish Posts, FU Berlin 2023
Alexander Apostolos Rademann, OAuth 2.0 damals und heute: Analyse sicherheitsrelevanter Eigenschaften durch Threat Modeling, FU Berlin 2023
Magdalena Betram, Towards a lattice-based signature scheme for privacy-preserving protocols, FU Berlin 2023
Tobias Schalau, A Contrastive Self-Supervised Learning Model for Network Intrusion Detection, FU Berlin 2023
Leon Dirmeier, Lösung von Delegierungsproblemen des Unternehmenskontos mittels Proxy-Re-Encryption, FU Berlin 2023
Yarmina Anna Meszaros, Taxonomy of Privacy Attacks in Machine Learning, FU Berlin 2023
Jonny Lam, Herausforderung bei der Integration von Zero Trust in bestehende Systeme und Prozesse einer traditionellen IT Sicherheitsarchitektur, FU Berlin 2023
Marisa Frizzi Nest, Exploration of checkpoints in the context of membership inference attacks, FU Berlin 2023
Ina Fendel, Group-based Membership Inference Attack against Machine Learning Models, FU Berlin 2023
Yussuf Mohammed Kassem, Distributed Deep Neuroevolution for Offloading in Multi-Access Cloud-Edge Computing Networks, FU Berlin 2023
Valentin Pickel, A Comprehensive Description of the Quantum HHL Algorithm and its Application in the Cryptanalysis of the AES, FU Berlin 2023
2022
Paulin Deupmann, Untersuchung des quantencomputerresistenten kryptographischen Verfahren CRYSTALS-Kyber, FU Berlin 2022
Manar Zaboub, Signal Strength Prediction and Visualization in 5G networks, Fraunhofer Fokus & FU Berlin 2022
2021 and before
Di Wang, Evaluating and Adapting Existing Neural Network Watermarking Approaches to Online Learning Scenarios, FU Berlin 2021
Jannis Ihrig, Attacking Differentially Private CNNs Trained with PATE, FU Berlin 2021
Tim von Känel, Practical Evaluation of Neural Network Watermarking Approaches, FU Berlin 2021
Oussama Bouanani, The Inuence of Training Parameters and Architectural Choices on the Vulnerability of Neural Networks to Membership Inference Attacks, FU Berlin 2021
Daniel Sosnovchyk, Evaluating Privacy of Synthetic Data Through Metrics, FU Berlin 2021
Felix Peterka, Design von Abhörkodes mit Deep Learning, FU Berlin 2021
Cezary Tomasz Pilaszewicz, Optimization of the size of a quantum register for Shor’s algorithm, FU Berlin 2021
Adrian Miloradovic, Precomputional Improvement of Supersingular Isogeny Diffie-Hellman, FU Berlin 2021
Jan Benninger, Abhörkodes für Semantische Sicherheit, FU Berlin 2021
Jasper Seidensticker, Gitterbasierte Kryptoanalyse: Die Coppersmith Methode, FU Berlin 2021
Maximilian Weigand, Realization Of An eIDAS Validation Service, FU Berlin 2020