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
942019
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
152020
Environmentally robust audio-visual speaker identification
L Schönherr, D Orth, M Heckmann, D Kolossa
2016 IEEE Spoken Language Technology Workshop (SLT), 312-318, 2016
72016
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems
L Schönherr, T Eisenhofer, S Zeiler, T Holz, D Kolossa
Annual Computer Security Applications Conference (ACSAC), 843-855, 2020
6*2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification
S Däubener, L Schönherr, A Fischer, D Kolossa
INTERSPEECH 2020, 2020
22020
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
22020
VENOMAVE: Clean-Label Poisoning Against Speech Recognition
H Aghakhani, T Eisenhofer, L Schönherr, D Kolossa, T Holz, C Kruegel, ...
arXiv preprint arXiv:2010.10682, 2020
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
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
2017
Preprint: Environmentally Robust Audio-Visual Speaker
L Schönherr, D Orth, M Heckmann, D Kolossa
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Artikelen 1–10