Prof. Dr. Patrick Levi

Office hours

Subject area(s)

Research area(s)

• Security and privacy aspects of AI, AI Hacking
• Time series analysis (e.g. sensor data, predictive maintenance)
• Information managment (combining technologies like e.g. large language models and graph neural networks)
• Quantum Machine Learning

Recent Publications

• P. Levi and C.P. Neumann, Vocabulary Attack to Hijack Large Language Model Applications, Proc of the 15th International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2024), Venice, Italy (2024)
• S. Steindl, U. Schäfer, B. Ludwig, and P. Levi. Linguistic Obfuscation Attacks and Large Language Model Uncertainty. EACL-2024 Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024), pages 35-40, St Julians, Malta (2024)
• P. Levi, P. Gelhausen, G. Peters, Capacity Studies for a Differential Growing Neural Gas, arXiv:2212.12319 (2022)
• J. Meiswinkel, P. Levi, and R. Hoch. The significance of computational performance for enterprise AI in question-answering. In A. Martin, K. Hinkelmann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, and F. van Harmelen, editors, Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021, volume 2846 of CEUR Workshop Proceedings. CEUR-WS.org (2021)