Oct 22, 2020 · In this paper, we provide a systematic survey on the speech adversarial examples. We first proposed a taxonomy of existing adversarial examples.
Jan 20, 2021 · potential severe security risks to the deep-learning-based ASR system. In this paper, we provide a systematic survey on the speech adversarial.
Dec 31, 2019 · In this paper, we provide a systematic survey on the speech adversarial examples. We first proposed a taxonomy of existing adversarial examples.
Aug 21, 2019 · In this article, we provide a systematic survey of audio adversarial examples in the literature. We first present an overview of the ...
In this article, we provide a systematic survey of audio adversarial examples in the literature. We first present an overview of the architecture of ASR systems ...
Jul 1, 2024 · Adversarial attacks are synthetic samples crafted carefully by adding particular noise to legitimate examples. They are imperceptible, yet they ...
This article presents an overview of the architecture of ASR systems, a brief introduction of the state-of-the-art solutions to audio adversarial examples,
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Adversarial attacks and defenses in Speaker Recognition Systems
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Adversarial attacks mean that an adversary utilizes adversarial examples, which are generated by adding small perturbations, i.e., adversarial perturbations, ...
Mar 4, 2021 · In this work, we focus mainly on adversarial attacks against automatic speech recognition (ASR) systems and investigate how to defend them. Most ...
Adversarial machine learning (AML) is a class of data manipulation techniques that cause alterations in the behavior of artificial intelligence (AI) systems ...