As one of the leading international research institutions, KASTEL Security Research Labs contributes to the interdisciplinary research of holistic solutions for the security and data protection of complex networked systems. We span the arc from basic research to application research, including timely transfer to business, society, and politics. We explore the quantification of security and privacy. In doing so, we are guided by the unity of research, teaching, and innovation.

Latest News

Apr 25, 2024

Dutch cyber security companies visit KASTEL Security Research Labs

On April 24, as part of a program supported by the Dutch government, a delegation from various cybersecurity companies visited the IT security location Karlsruhe to learn more about the German cybersecurity research landscape and its work.

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Mar 25, 2024

New issue of acatech HORIZONTE

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Mar 25, 2024

Ina Schaefer interviewed by SWR AKTUELL

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Upcoming Events

  • 30. Jul
    2024

    International Conference on Availability, Reliability and Security (ARES 2024)

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Studies

3 University Courses

Advanced Education

3 Chances for Further Training

It is our ambition not only to conduct research, but also to transfer our knowledge. That is why KASTEL Security Research Labs (SRL) offers diverse programs to deepen the knowledge in the field of IT security for professionals and students.

Knowledge Transfer

Publications: Insights into our Research

The research results at KASTEL Security Research Labs are highlighted by numerous outstanding publications. Get insights into our research work.

Aug 28, 2024
Privacy

Composition in Differential Privacy for General Granularity Notions

Guerra-Balboa, P.; Miranda-Pascual, À.; Parra-Arnau, J.; Strufe, T.
2024. 2024 IEEE 37th Computer Security Foundations Symposium (CSF), 8th-12th July 2024.

Publication
Jun 24, 2024
Modeling Software Engineering

Requirements Classification for Traceability Link Recovery

Hey, T.; Keim, J.; Corallo, S.
2024. 2024 IEEE 32nd International Requirements Engineering Conference (RE’24), Institute of Electrical and Electronics Engineers (IEEE)

Publication
May 20, 2024
Machine Learning

SoK: Explainable Machine Learning in Adversarial Environments

Noppel, M.; Wressnegger, C.
2024. Proceedings of the 45th IEEE Symposium on Security and Privacy (S&P), San Francisco, 20th-22nd May 2024, Institute of Electrical and Electronics Engineers (IEEE).

Publication