Faculty
Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)
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).
Usenix Security Symposium (USENIX-Security)
International Conference on Machine Learning (ICML)
International Conference on Machine Learning (ICML)
IEEE Symposium on Security and Privacy (S&P)
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning (ESANN)
IEEE Symposium on Security and Privacy (S&P)
Network and Distributed System Security Symposium (NDSS)
Conference on Secure and Trustworthy Machine Learning (SaTML)
INTERSPEECH (ISCA)