Faculty
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).
Annual Computer Security Applications Conference (ACSAC) Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems
Annual Conference of the International Speech Communication Association (Interspeech) Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification
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
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
SLT Environmentally robust audio-visual speaker identification