In this work, we propose the first semi-black-box attack against the ASR system - Kaldi. Requiring only partial information from Kaldi and none from DNN, we can ...
Nov 1, 2019 · In this work, we propose the first semi-black-box attack against the ASR system - Kaldi. Requiring only partial information from Kaldi and none ...
... By using techniques like crossover and mutation, GA refines search results, prioritizing samples with higher fitness scores for subsequent iterations. This ...
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NSF Public Access · Search Results · Semi-black-box Attacks Against Speech Recognition Systems Using Adversarial Samples.
Aug 3, 2024 · Extensive research has revealed that adversarial examples (AE) pose a significant threat to voice-controllable smart devices.
This paper designs KENKU, an efficient and stealthy black-box adversarial attack framework against ASRs, supporting hidden voice command and integrated command ...
Missing: Semi- Samples.
A new type of adversarial examples based on psychoacoustic hiding is introduced, which allows us to embed an arbitrary audio input with a malicious voice ...
Dec 9, 2024 · Black-box adversarial attacks have demonstrated strong potential to compromise machine learning models by iteratively querying the target ...
Missing: Samples. | Show results with:Samples.
Many have demonstrated that small adversarial perturbations can fool deep neural networks into incorrectly predicting a specified target with high confidence.
Missing: Semi- | Show results with:Semi-
Our attack introduces perturbations to input audio that induce ASR systems to mistranscribe speech, and AVI systems to misidentifying voices, without impacting.