Meinel, Christoph

Large Language Models in Cybersecurity: State-of-the-Art

Motlagh, F. N., Hajizadeh, M., Majd, M., Najafi, P., Cheng, F., & Meinel, C. (2024) · arXiv

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 92

Large Language Models in Cybersecurity: State-of-the-Art

Motlagh, F., Hajizadeh, M., Majd, M., Najafi, P., Cheng, F., & Meinel, C. (2025) · Proceedings of the 11th International Conference on Information Systems Security and Privacy

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 92

An Integration Architecture to Enable Service Providers for Self-sovereign Identity

Gruner, A., Muhle, A., & Meinel, C. (2019) · 2019 IEEE 18th International Symposium on Network Computing and Applications (NCA)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 39

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks

Guo, N., Bethge, J., Yang, H., Zhong, K., Ning, X., Meinel, C., & Wang, Y. (2021) · arXiv

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 10

Exploring possibilities to partially transform simulation exercises into interactive games on OpenWHO.Org digitizing live role-playing game exercises online for epidemics and health emergency work

Hagedorn, C., Utunen, H., Renz, J., & Meinel, C. (2018) · 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH)

Educational Games and GamificationDisaster Response and Management

Cited by 3