Lea Schönherr
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Adversarial attacks against automatic speech recognition systems via psychoacoustic hiding
L Schönherr, K Kohls, S Zeiler, T Holz, D Kolossa
Network and Distributed System Security Symposium (NDSS), 2019
Environmentally robust audio-visual speaker identification
L Schönherr, D Orth, M Heckmann, D Kolossa
2016 IEEE Spoken Language Technology Workshop (SLT), 312-318, 2016
Leveraging Frequency Analysis for Deep Fake Image Recognition
J Frank, T Eisenhofer, L Schönherr, A Fischer, D Kolossa, T Holz
International Conference on Machine Learning (ICML), 2020
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems
L Schönherr, T Eisenhofer, S Zeiler, T Holz, D Kolossa
arXiv preprint arXiv:1908.01551, 2019
Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers
L Schönherr, M Golla, T Eisenhofer, J Wiele, D Kolossa, T Holz
arXiv preprint arXiv:2008.00508, 2020
Loss Functions for Deep Monaural Speech Enhancement
J Freiwald, L Schönherr, C Schymura, S Zeiler, D Kolossa
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification
S Däubener, L Schönherr, A Fischer, D Kolossa
arXiv preprint arXiv:2005.14611, 2020
Spoofing detection via simultaneous verification of audio-visual synchronicity and transcription
L Schönherr, S Zeiler, D Kolossa
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
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