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Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech
  Recognition Systems

Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems

5 August 2019
Lea Schonherr
Thorsten Eisenhofer
Steffen Zeiler
Thorsten Holz
D. Kolossa
    AAML
ArXivPDFHTML

Papers citing "Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems"

6 / 6 papers shown
Title
Language Dependencies in Adversarial Attacks on Speech Recognition
  Systems
Language Dependencies in Adversarial Attacks on Speech Recognition Systems
Karla Markert
Donika Mirdita
Konstantin Böttinger
AAML
SILM
9
4
0
01 Feb 2022
Cyclic Defense GAN Against Speech Adversarial Attacks
Cyclic Defense GAN Against Speech Adversarial Attacks
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
AAML
19
7
0
26 Mar 2021
Dompteur: Taming Audio Adversarial Examples
Dompteur: Taming Audio Adversarial Examples
Thorsten Eisenhofer
Lea Schonherr
Joel Frank
Lars Speckemeier
D. Kolossa
Thorsten Holz
AAML
26
24
0
10 Feb 2021
Cortical Features for Defense Against Adversarial Audio Attacks
Cortical Features for Defense Against Adversarial Audio Attacks
Ilya Kavalerov
Frank Zheng
W. Czaja
Ramalingam Chellappa
AAML
16
0
0
30 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,134
0
06 Jun 2015
1