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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

Address

Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)

Most Recent Publications

Year 2024

Conference / Medium

IEEE Symposium on Security and Privacy (S&P)

Conference / Medium

IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Year 2023

Conference / Medium

European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning (ESANN)

Conference / Medium

Network and Distributed System Security Symposium (NDSS)