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).
IEEE Symposium on Security and Privacy (S&P) Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams
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) Drone Security and the Mysterious Case of DJI's DroneID
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) VENOMAVE: Targeted Poisoning Against Speech Recognition
Annual Conference of the International Speech Communication Association (Interspeech) Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks
Computer Speech and Language Exploring Accidental Triggers of Smart Speakers
Annual Conference of the International Speech Communication Association (Interspeech) Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification
Usenix Security Symposium (USENIX-Security) Dompteur: Taming Audio Adversarial Examples
Conference on Neural Information Processing Systems (NeurIPS) WaveFake: A Data Set to Facilitate Audio Deepfake Detection.