Mar 4, 2020 · In this paper, we propose the first real-time, universal, and robust adversarial attack against the state-of-the-art deep neural network (DNN) based speaker ...
This paper proposes a real-time, universal, and robust targeted adversarial attack against speaker recognition system. The proposed attack builds a ...
The first real-time, universal, and robust adversarial attack against the state-of-the-art deep neural network (DNN) based speaker recognition system is ...
In this paper, we propose to design, for the first time, a real-time, robust, and adaptive universal adversarial attack against the state-of-the-art deep neural ...
Feb 10, 2021 · In this paper, we propose to design, for the first time, a real-time, robust, and adaptive universal adversarial attack against the state-of-the-art deep ...
Sep 12, 2024 · In this paper, we propose the first real-time, universal, and robust adversarial attack against the state-of-the-art deep neural network (DNN) ...
Feb 10, 2021 · In this paper, we propose to design, for the first time, a real-time, robust, and adaptive universal adversarial attack against the state-of-the ...
In this paper, we propose to design, for the first time, a real-time, robust, and adaptive universal adversarial attack against the state-of-the-art deep neural ...
Xie et al. [26] proposed the realtime, universal, and robust adversarial attack against DNNbased speaker recognition system by adding audio-agnostic universal ...
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Adversarial attacks and defenses in Speaker Recognition Systems
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In this paper, we fill this gap by performing a comprehensive survey on adversarial attacks and defenses in SRSs.