12 jui 2019 · Adversarial Examples for Automatic Speech Recognition Given an input audio , a targeted transcription , an automatic speech Code: https://github com/tensorflow/cleverhans/tree/master/examples/adversarial_asr
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[PDF] Robust Audio Adversarial Example for a Physical Attack - IJCAI
done on audio adversarial examples against speech recog- nition models, even 2Our full implementation is available at https://github com/ hiromu/robust
[PDF] Imperceptible, Robust and Targeted Adversarial Examples - ICML
12 jui 2019 · Adversarial Examples for Automatic Speech Recognition Given an input audio , a targeted transcription , an automatic speech Code: https://github com/tensorflow/cleverhans/tree/master/examples/adversarial_asr
[PDF] Detecting Adversarial Examples in Deep Neural Networks - Machine
examples and rejects adversarial inputs The approach generalizes to other domains where deep learning is used, such as voice recognition and natural
[PDF] Adversarial Music: Real world Audio Adversary against Wake-word
Adversarial Music: Real world Audio Adversary against Wake-word Detection potentially be vulnerable to audio adversarial examples In https://github com/
[PDF] Detecting Adversarial Examples for Speech Recognition via
25 oct 2020 · into recognizing given target transcriptions in an arbitrary audio sample proach, we are able to detect adversarial examples with an area under the receiving operator github com/rub-ksv/uncertaintyASR 2 Background
[PDF] Noise Flooding for Detecting Audio Adversarial Examples Against
defenses in the audio space, detecting adversarial examples with 91 8 in this research are available at http://github com/LincLabUCCS/Noise- Flooding
[PDF] Metamorph: Injecting Inaudible Commands into Over-the-air Voice
23 fév 2020 · speaker to play malicious adversarial examples, hiding voice commands that are targeted audio adversarial attack (i e , a T chosen by the selection of δ) https ://acoustic-metamorph-system github io/ [10] “SwiftScribe
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OurSettingsThreatModelWhite-boxAttackASRModelLingvoASRsystem(state-of-the-art)[1][1]Shen, Jonathan, et al. "Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling."arXivpreprint arXiv:1902.08295(2019).
ImperceptibilityFrequencyMaskingAlouder signal (the "masker")can make other signals at nearby frequencies (the "maskees") imperceptible.Canhidesoundsinhere!HumanperceptibilitythresholdSingletoneasanexamplePowerSpectralDensity(PSD)[dB]Frequency[KHz]
Constructeffectively imperceptible adversarial examples using frequency masking.Developrobust adversarial examples that remain effective after playing over-the-airinthesimulatedrooms.Generateadversarial examples for non-ℓL-basedmetrics.Conclusions