Faculty
Dr. Lea Schönherr ist Tenure-Track-Faculty am CISPA Helmholtz-Zentrum für Informationssicherheit. Sie forscht zu Informationssicherheit mit einem Schwerpunkt auf Adversarial Machine Learning. Sie promovierte 2021 an der Ruhr-Universität Bochum, wo sie von Professor Dr.-Ing. Dorothea Kolossa in der Arbeitsgruppe Kognitive Signalverarbeitung betreut wurde. Sie erhielt zwei Stipendien von UbiCrypt (DFG-Graduiertenkolleg) und CASA (DFG-Exzellenzcluster).
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.