Dr. Lea Schönherr is a tenure-track faculty at CISPA Helmholtz Center for Information Security interested in information security with a focus on adversarial machine learning. She received her Ph.D. in 2021 from Ruhr University Bochum, where she was advised by Prof. Dr.-Ing. Dorothea Kolossa at the Cognitive Signal Processing group at Ruhr University Bochum (RUB), Germany. She received two scholarships from UbiCrypt (DFG Research Training Group) and CASA (DFG Cluster of Excellence).
International Conference on Machine Learning (ICML)
Leveraging Frequency Analysis for Deep Fake Image Recognition
Network and Distributed System Security Symposium (NDSS)
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding
SLT
Environmentally robust audio-visual speaker identification