Thorsten Eisenhofer
Institution: Ruhr-Universität Bochum / CASA
Research Hub(s):
Hub C: Sichere Systeme
E-Mail: thorsten.eisenhofer@rub.de
Adresse: ID 2/147
Twitter: @_thrsten
Publikationen:
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning A Representative Study on Human Detection of Artificially Generated Media Across Countries Password-Authenticated Key Exchange from Group Actions Dompteur: Taming Audio Adversarial Examples Leveraging Frequency Analysis for Deep Fake Image Recognition