SenPAI
Security and Privacy in AI

The use of AI becomes more common in security applications. But the security of the applied algorithms is often limited - there are, for example, shortcomings of trained algorithms regarding targeted attacks and risks of privacy loss.

The research area SenPAI in ATHENE addresses the subject of security in AI regarding algorithms and systems as well as applications based on ML in the field of cybersecurity.

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Best Paper Award for SenPAI experts

Text forensics experts from SenPAI present an authorship verification method in their award-winning paper "TAVeer - An Interpretable Topic-Agnostic Authorship Verification Method". With the help of AV, one can check whether a specific author actually wrote a piece of text or not.

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How secure is Machine Learning?

Study investigates the application of security aspects in Machine Learning techniques. Practitioners are needed for the survey.

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More Cyber Security for AI

Many companies and public authorities are still hesitant about using AI in the field of cyber security, despite the many opportunities for innovation. One major reason: the performance of systems is often difficult to assess. That is why experts from science and industry have drawn up recommendations on how to overcome obstacles to the use of AI.

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Get in touch with us

Coordinator SenPAI

Prof. Dr. Martin Steinebach
Fraunhofer SIT |
TU Darmstadt
Tel.: +49 6151 869-349
E-Mail

Postal Address

Fraunhofer SIT
National Research Center for Applied Cyber­security ATHENE
Rheinstraße 75
64295 Darmstadt