Lea Schönherr


I am a tenure track faculty at CISPA Helmholtz Center for Information Security interested in information security with a focus on adversarial machine learning . Before that I was working at Ruhr University Bochum (RUB), Germany, in the DFG Cluster of Excellence “Cyber Security in the Age of Large-Scale Adversaries“ (CASA).


My research includes all kinds of attacks against machine learning models, including adversarial examples and poisoning attacks with a focus on signal-driven input data like audio and speech by utilizing approaches based on signal processing. I aim to develop domain-adaptive detection mechanisms and countermeasures, e.g., for Deepfakes and adversarial examples.


During my Ph.D., I focused on the robustness of neural networks and the security of speech-based systems. I received my Ph.D. in 2021 from Ruhr University Bochum, where I was advised by Prof. Dr.-Ing. Dorothea Kolossa at the Cognitive Signal Processing group at Ruhr University Bochum (RUB), Germany. I received two scholarships from UbiCrypt (DFG Research Training Group) and CASA (DFG Cluster of Excellence).


I obtained my Master's degree in Electrical Engineering and Information Technology at RUB in 2015 after graduating from the University of Applied Science in Mannheim in Biomedical Engineering.



Adversarially Robust Speech Recognition
ISCA SIGML Seminar Series 2021