Collaborative research

Collaborative research projects

Cutting-edge research that transcends disciplinary, organizational and geographical boundaries. Our researchers use their expertise in innovative collaborative research projects.

With an internationally unique holistic-interdisciplinary approach, the scientists are researching effective measures against powerful and large-scale cyber attackers who can cause critical damage through technical expertise and broad financial resources. CASA is the place for pioneering IT security research in Germany.

The members of the interdisciplinary Collaborative Research Center are investigating how sensory signals generate neuronal maps and how this results in complex behavior and memory formation. The aim is to apply a system-oriented neuroscientific strategy to investigate key aspects of sensory processing.

We can learn that previous knowledge is no longer relevant and adapt our behavior accordingly. Extinction learning involves both forgetting old information and a new learning process that differs from initial acquisition and is considerably more complex. The SFB 1280 investigates the neural, behavioral, educational, ontogenetic and clinical mechanisms of extinction learning.

In Research Group 2821, scientists are working in nine closely linked sub-projects on scenario construction during the recall of episodic memory. They use methods from experimental psychology, philosophy and computational neuroscience.

In addition to the technical aspects of IT security, the SecHuman research college is also investigating the opportunities and consequences for people, society and culture. The research takes place in an inter- and transdisciplinary environment: An innovative tandem concept combines research from a technical discipline with research from a social science or humanities discipline and enables practice-oriented IT security research

The encryption methods used today do not scale well and cannot be applied to large volumes of data. For example, the security guarantees of the most commonly used RSA encryption decrease linearly with the number of users and ciphertexts. The aim of the project is to develop a toolbox for cryptographic procedures that are suitable for large amounts of data and whose security levels can be adapted during operation.