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Research Group

Schönherr

Our research includes all kinds of attacks against real-world machine learning systems with a focus on input data like audio, speech, and text. In our research we focus on security and privacy threats equally and aim to use domain knowledge to develop adaptive detection mechanisms and countermeasures, e.g. for Deepfakes and adversarial examples.

Head of Group

Lea Schönherr

Email

Address

Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)

Most Recent Publications

Year 2026

Conference / Medium

GI International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA)
Adversarial Robustness of AI-Generated Image Detectors in the Real World

Conference / Medium

GI International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA)
Whispers in the Machine: Confidentiality in Agentic Systems

Conference / Medium

International Conference on Acoustics Speech and Signal Processing (ICASSP)
Are Modern Speech Enhancement Systems Vulnerable to Adversarial Attacks?

Conference / Medium

International Conference on Human Factors in Computing Systems (CHI)
"That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation

Article

Pattern Recognition Buffer-free class-incremental learning with out-of-distribution detection